├── .gitattributes ├── .gitignore ├── BrainMRIAgeClassificationUsingDeepLearning.mlx ├── LICENSE.md ├── README.md ├── ds000228-1.1.0-subset ├── CHANGES ├── README ├── dataset_description.json ├── derivatives │ ├── README.txt │ └── preprocessed_data │ │ ├── sub-pixar001 │ │ ├── sub-pixar001_analysis_mask.nii.gz │ │ └── sub-pixar001_normed_anat.nii.gz │ │ ├── sub-pixar002 │ │ ├── sub-pixar002_analysis_mask.nii.gz │ │ └── sub-pixar002_normed_anat.nii.gz │ │ ├── sub-pixar003 │ │ ├── sub-pixar003_analysis_mask.nii.gz │ │ └── sub-pixar003_normed_anat.nii.gz │ │ ├── sub-pixar004 │ │ ├── sub-pixar004_analysis_mask.nii.gz │ │ └── sub-pixar004_normed_anat.nii.gz │ │ ├── sub-pixar005 │ │ ├── sub-pixar005_analysis_mask.nii.gz │ │ └── sub-pixar005_normed_anat.nii.gz │ │ ├── sub-pixar006 │ │ ├── sub-pixar006_analysis_mask.nii.gz │ │ └── sub-pixar006_normed_anat.nii.gz │ │ ├── sub-pixar007 │ │ ├── sub-pixar007_analysis_mask.nii.gz │ │ └── sub-pixar007_normed_anat.nii.gz │ │ ├── sub-pixar008 │ │ ├── sub-pixar008_analysis_mask.nii.gz │ │ └── sub-pixar008_normed_anat.nii.gz │ │ ├── sub-pixar009 │ │ ├── sub-pixar009_analysis_mask.nii.gz │ │ └── sub-pixar009_normed_anat.nii.gz │ │ ├── sub-pixar010 │ │ ├── sub-pixar010_analysis_mask.nii.gz │ │ └── sub-pixar010_normed_anat.nii.gz │ │ ├── sub-pixar011 │ │ ├── sub-pixar011_analysis_mask.nii.gz │ │ └── sub-pixar011_normed_anat.nii.gz │ │ ├── sub-pixar012 │ │ ├── sub-pixar012_analysis_mask.nii.gz │ │ └── sub-pixar012_normed_anat.nii.gz │ │ ├── sub-pixar013 │ │ ├── sub-pixar013_analysis_mask.nii.gz │ │ └── sub-pixar013_normed_anat.nii.gz │ │ ├── sub-pixar014 │ │ ├── sub-pixar014_analysis_mask.nii.gz │ │ └── sub-pixar014_normed_anat.nii.gz │ │ ├── sub-pixar015 │ │ ├── sub-pixar015_analysis_mask.nii.gz │ │ └── sub-pixar015_normed_anat.nii.gz │ │ ├── sub-pixar016 │ │ ├── sub-pixar016_analysis_mask.nii.gz │ │ └── sub-pixar016_normed_anat.nii.gz │ │ ├── sub-pixar017 │ │ ├── sub-pixar017_analysis_mask.nii.gz │ │ └── sub-pixar017_normed_anat.nii.gz │ │ ├── sub-pixar018 │ │ ├── sub-pixar018_analysis_mask.nii.gz │ │ └── sub-pixar018_normed_anat.nii.gz │ │ ├── sub-pixar019 │ │ ├── sub-pixar019_analysis_mask.nii.gz │ │ └── sub-pixar019_normed_anat.nii.gz │ │ ├── sub-pixar020 │ │ ├── sub-pixar020_analysis_mask.nii.gz │ │ └── sub-pixar020_normed_anat.nii.gz │ │ ├── sub-pixar021 │ │ ├── sub-pixar021_analysis_mask.nii.gz │ │ └── sub-pixar021_normed_anat.nii.gz │ │ ├── sub-pixar022 │ │ ├── sub-pixar022_analysis_mask.nii.gz │ │ └── sub-pixar022_normed_anat.nii.gz │ │ ├── sub-pixar023 │ │ ├── sub-pixar023_analysis_mask.nii.gz │ │ └── sub-pixar023_normed_anat.nii.gz │ │ ├── sub-pixar024 │ │ ├── sub-pixar024_analysis_mask.nii.gz │ │ └── sub-pixar024_normed_anat.nii.gz │ │ ├── sub-pixar025 │ │ ├── sub-pixar025_analysis_mask.nii.gz │ │ └── sub-pixar025_normed_anat.nii.gz │ │ ├── sub-pixar026 │ │ ├── sub-pixar026_analysis_mask.nii.gz │ │ └── sub-pixar026_normed_anat.nii.gz │ │ ├── sub-pixar027 │ │ ├── sub-pixar027_analysis_mask.nii.gz │ │ └── sub-pixar027_normed_anat.nii.gz │ │ ├── sub-pixar028 │ │ ├── sub-pixar028_analysis_mask.nii.gz │ │ └── sub-pixar028_normed_anat.nii.gz │ │ ├── sub-pixar029 │ │ ├── sub-pixar029_analysis_mask.nii.gz │ │ └── sub-pixar029_normed_anat.nii.gz │ │ ├── sub-pixar030 │ │ ├── sub-pixar030_analysis_mask.nii.gz │ │ └── sub-pixar030_normed_anat.nii.gz │ │ ├── sub-pixar031 │ │ ├── sub-pixar031_analysis_mask.nii.gz │ │ └── sub-pixar031_normed_anat.nii.gz │ │ ├── sub-pixar032 │ │ ├── sub-pixar032_analysis_mask.nii.gz │ │ └── sub-pixar032_normed_anat.nii.gz │ │ ├── sub-pixar033 │ │ ├── sub-pixar033_analysis_mask.nii.gz │ │ └── sub-pixar033_normed_anat.nii.gz │ │ ├── sub-pixar034 │ │ ├── sub-pixar034_analysis_mask.nii.gz │ │ └── sub-pixar034_normed_anat.nii.gz │ │ ├── sub-pixar035 │ │ ├── sub-pixar035_analysis_mask.nii.gz │ │ └── sub-pixar035_normed_anat.nii.gz │ │ ├── sub-pixar036 │ │ ├── sub-pixar036_analysis_mask.nii.gz │ │ └── sub-pixar036_normed_anat.nii.gz │ │ ├── sub-pixar037 │ │ ├── sub-pixar037_analysis_mask.nii.gz │ │ └── sub-pixar037_normed_anat.nii.gz │ │ ├── sub-pixar038 │ │ ├── sub-pixar038_analysis_mask.nii.gz │ │ └── sub-pixar038_normed_anat.nii.gz │ │ ├── sub-pixar039 │ │ ├── sub-pixar039_analysis_mask.nii.gz │ │ └── sub-pixar039_normed_anat.nii.gz │ │ ├── sub-pixar040 │ │ ├── sub-pixar040_analysis_mask.nii.gz │ │ └── sub-pixar040_normed_anat.nii.gz │ │ ├── sub-pixar041 │ │ ├── sub-pixar041_analysis_mask.nii.gz │ │ └── sub-pixar041_normed_anat.nii.gz │ │ ├── sub-pixar042 │ │ ├── sub-pixar042_analysis_mask.nii.gz │ │ └── sub-pixar042_normed_anat.nii.gz │ │ ├── sub-pixar043 │ │ ├── sub-pixar043_analysis_mask.nii.gz │ │ └── sub-pixar043_normed_anat.nii.gz │ │ ├── sub-pixar044 │ │ ├── sub-pixar044_analysis_mask.nii.gz │ │ └── sub-pixar044_normed_anat.nii.gz │ │ ├── sub-pixar045 │ │ ├── sub-pixar045_analysis_mask.nii.gz │ │ └── sub-pixar045_normed_anat.nii.gz │ │ ├── sub-pixar046 │ │ ├── sub-pixar046_analysis_mask.nii.gz │ │ └── sub-pixar046_normed_anat.nii.gz │ │ ├── sub-pixar047 │ │ ├── sub-pixar047_analysis_mask.nii.gz │ │ └── sub-pixar047_normed_anat.nii.gz │ │ ├── sub-pixar048 │ │ ├── sub-pixar048_analysis_mask.nii.gz │ │ └── sub-pixar048_normed_anat.nii.gz │ │ ├── sub-pixar049 │ │ ├── sub-pixar049_analysis_mask.nii.gz │ │ └── sub-pixar049_normed_anat.nii.gz │ │ ├── sub-pixar050 │ │ ├── sub-pixar050_analysis_mask.nii.gz │ │ └── sub-pixar050_normed_anat.nii.gz │ │ ├── sub-pixar051 │ │ ├── sub-pixar051_analysis_mask.nii.gz │ │ └── sub-pixar051_normed_anat.nii.gz │ │ ├── sub-pixar052 │ │ ├── sub-pixar052_analysis_mask.nii.gz │ │ └── sub-pixar052_normed_anat.nii.gz │ │ ├── sub-pixar053 │ │ ├── sub-pixar053_analysis_mask.nii.gz │ │ └── sub-pixar053_normed_anat.nii.gz │ │ ├── sub-pixar054 │ │ ├── sub-pixar054_analysis_mask.nii.gz │ │ └── sub-pixar054_normed_anat.nii.gz │ │ ├── sub-pixar055 │ │ ├── sub-pixar055_analysis_mask.nii.gz │ │ └── sub-pixar055_normed_anat.nii.gz │ │ ├── sub-pixar056 │ │ ├── sub-pixar056_analysis_mask.nii.gz │ │ └── sub-pixar056_normed_anat.nii.gz │ │ ├── sub-pixar057 │ │ ├── sub-pixar057_analysis_mask.nii.gz │ │ └── sub-pixar057_normed_anat.nii.gz │ │ ├── sub-pixar058 │ │ ├── sub-pixar058_analysis_mask.nii.gz │ │ └── sub-pixar058_normed_anat.nii.gz │ │ ├── sub-pixar059 │ │ ├── sub-pixar059_analysis_mask.nii.gz │ │ └── sub-pixar059_normed_anat.nii.gz │ │ ├── sub-pixar060 │ │ ├── sub-pixar060_analysis_mask.nii.gz │ │ └── sub-pixar060_normed_anat.nii.gz │ │ ├── sub-pixar061 │ │ ├── sub-pixar061_analysis_mask.nii.gz │ │ └── sub-pixar061_normed_anat.nii.gz │ │ ├── sub-pixar062 │ │ ├── sub-pixar062_analysis_mask.nii.gz │ │ └── sub-pixar062_normed_anat.nii.gz │ │ ├── sub-pixar063 │ │ ├── sub-pixar063_analysis_mask.nii.gz │ │ └── sub-pixar063_normed_anat.nii.gz │ │ ├── sub-pixar064 │ │ ├── sub-pixar064_analysis_mask.nii.gz │ │ └── sub-pixar064_normed_anat.nii.gz │ │ ├── sub-pixar065 │ │ ├── sub-pixar065_analysis_mask.nii.gz │ │ └── sub-pixar065_normed_anat.nii.gz │ │ ├── sub-pixar066 │ │ ├── sub-pixar066_analysis_mask.nii.gz │ │ └── sub-pixar066_normed_anat.nii.gz │ │ ├── sub-pixar067 │ │ ├── sub-pixar067_analysis_mask.nii.gz │ │ └── sub-pixar067_normed_anat.nii.gz │ │ ├── sub-pixar068 │ │ ├── sub-pixar068_analysis_mask.nii.gz │ │ └── sub-pixar068_normed_anat.nii.gz │ │ ├── sub-pixar069 │ │ ├── sub-pixar069_analysis_mask.nii.gz │ │ └── sub-pixar069_normed_anat.nii.gz │ │ ├── sub-pixar070 │ │ ├── sub-pixar070_analysis_mask.nii.gz │ │ └── sub-pixar070_normed_anat.nii.gz │ │ ├── sub-pixar071 │ │ ├── sub-pixar071_analysis_mask.nii.gz │ │ └── sub-pixar071_normed_anat.nii.gz │ │ ├── sub-pixar072 │ │ ├── sub-pixar072_analysis_mask.nii.gz │ │ └── sub-pixar072_normed_anat.nii.gz │ │ ├── sub-pixar073 │ │ ├── sub-pixar073_analysis_mask.nii.gz │ │ └── sub-pixar073_normed_anat.nii.gz │ │ ├── sub-pixar074 │ │ ├── sub-pixar074_analysis_mask.nii.gz │ │ └── sub-pixar074_normed_anat.nii.gz │ │ ├── sub-pixar075 │ │ ├── sub-pixar075_analysis_mask.nii.gz │ │ └── sub-pixar075_normed_anat.nii.gz │ │ ├── sub-pixar076 │ │ ├── sub-pixar076_analysis_mask.nii.gz │ │ └── sub-pixar076_normed_anat.nii.gz │ │ ├── sub-pixar077 │ │ ├── sub-pixar077_analysis_mask.nii.gz │ │ └── sub-pixar077_normed_anat.nii.gz │ │ ├── sub-pixar078 │ │ ├── sub-pixar078_analysis_mask.nii.gz │ │ └── sub-pixar078_normed_anat.nii.gz │ │ ├── sub-pixar079 │ │ ├── sub-pixar079_analysis_mask.nii.gz │ │ └── sub-pixar079_normed_anat.nii.gz │ │ ├── sub-pixar080 │ │ ├── sub-pixar080_analysis_mask.nii.gz │ │ └── sub-pixar080_normed_anat.nii.gz │ │ ├── sub-pixar081 │ │ ├── sub-pixar081_analysis_mask.nii.gz │ │ └── sub-pixar081_normed_anat.nii.gz │ │ ├── sub-pixar082 │ │ ├── sub-pixar082_analysis_mask.nii.gz │ │ └── sub-pixar082_normed_anat.nii.gz │ │ ├── sub-pixar083 │ │ ├── sub-pixar083_analysis_mask.nii.gz │ │ └── sub-pixar083_normed_anat.nii.gz │ │ ├── sub-pixar084 │ │ ├── sub-pixar084_analysis_mask.nii.gz │ │ └── sub-pixar084_normed_anat.nii.gz │ │ ├── sub-pixar085 │ │ ├── sub-pixar085_analysis_mask.nii.gz │ │ └── sub-pixar085_normed_anat.nii.gz │ │ ├── sub-pixar086 │ │ ├── sub-pixar086_analysis_mask.nii.gz │ │ └── sub-pixar086_normed_anat.nii.gz │ │ ├── sub-pixar087 │ │ ├── sub-pixar087_analysis_mask.nii.gz │ │ └── sub-pixar087_normed_anat.nii.gz │ │ ├── sub-pixar088 │ │ ├── sub-pixar088_analysis_mask.nii.gz │ │ └── sub-pixar088_normed_anat.nii.gz │ │ ├── sub-pixar089 │ │ ├── sub-pixar089_analysis_mask.nii.gz │ │ └── sub-pixar089_normed_anat.nii.gz │ │ ├── sub-pixar090 │ │ ├── sub-pixar090_analysis_mask.nii.gz │ │ └── sub-pixar090_normed_anat.nii.gz │ │ ├── sub-pixar091 │ │ ├── sub-pixar091_analysis_mask.nii.gz │ │ └── sub-pixar091_normed_anat.nii.gz │ │ ├── sub-pixar092 │ │ ├── sub-pixar092_analysis_mask.nii.gz │ │ └── sub-pixar092_normed_anat.nii.gz │ │ ├── sub-pixar093 │ │ ├── sub-pixar093_analysis_mask.nii.gz │ │ └── sub-pixar093_normed_anat.nii.gz │ │ ├── sub-pixar094 │ │ ├── sub-pixar094_analysis_mask.nii.gz │ │ └── sub-pixar094_normed_anat.nii.gz │ │ ├── sub-pixar095 │ │ ├── sub-pixar095_analysis_mask.nii.gz │ │ └── sub-pixar095_normed_anat.nii.gz │ │ ├── sub-pixar096 │ │ ├── sub-pixar096_analysis_mask.nii.gz │ │ └── sub-pixar096_normed_anat.nii.gz │ │ ├── sub-pixar097 │ │ ├── sub-pixar097_analysis_mask.nii.gz │ │ └── sub-pixar097_normed_anat.nii.gz │ │ ├── sub-pixar098 │ │ ├── sub-pixar098_analysis_mask.nii.gz │ │ └── sub-pixar098_normed_anat.nii.gz │ │ ├── sub-pixar099 │ │ ├── sub-pixar099_analysis_mask.nii.gz │ │ └── sub-pixar099_normed_anat.nii.gz │ │ ├── sub-pixar100 │ │ ├── sub-pixar100_analysis_mask.nii.gz │ │ └── sub-pixar100_normed_anat.nii.gz │ │ ├── sub-pixar101 │ │ ├── sub-pixar101_analysis_mask.nii.gz │ │ └── sub-pixar101_normed_anat.nii.gz │ │ ├── sub-pixar102 │ │ ├── sub-pixar102_analysis_mask.nii.gz │ │ └── sub-pixar102_normed_anat.nii.gz │ │ ├── sub-pixar103 │ │ ├── sub-pixar103_analysis_mask.nii.gz │ │ └── sub-pixar103_normed_anat.nii.gz │ │ ├── sub-pixar104 │ │ ├── sub-pixar104_analysis_mask.nii.gz │ │ └── sub-pixar104_normed_anat.nii.gz │ │ ├── sub-pixar105 │ │ ├── sub-pixar105_analysis_mask.nii.gz │ │ └── sub-pixar105_normed_anat.nii.gz │ │ ├── sub-pixar106 │ │ ├── sub-pixar106_analysis_mask.nii.gz │ │ └── sub-pixar106_normed_anat.nii.gz │ │ ├── sub-pixar107 │ │ ├── sub-pixar107_analysis_mask.nii.gz │ │ └── sub-pixar107_normed_anat.nii.gz │ │ ├── sub-pixar108 │ │ ├── sub-pixar108_analysis_mask.nii.gz │ │ └── sub-pixar108_normed_anat.nii.gz │ │ ├── sub-pixar109 │ │ ├── sub-pixar109_analysis_mask.nii.gz │ │ └── sub-pixar109_normed_anat.nii.gz │ │ ├── sub-pixar110 │ │ ├── sub-pixar110_analysis_mask.nii.gz │ │ └── sub-pixar110_normed_anat.nii.gz │ │ ├── sub-pixar111 │ │ ├── sub-pixar111_analysis_mask.nii.gz │ │ └── sub-pixar111_normed_anat.nii.gz │ │ ├── sub-pixar112 │ │ ├── sub-pixar112_analysis_mask.nii.gz │ │ └── sub-pixar112_normed_anat.nii.gz │ │ ├── sub-pixar113 │ │ ├── sub-pixar113_analysis_mask.nii.gz │ │ └── sub-pixar113_normed_anat.nii.gz │ │ ├── sub-pixar114 │ │ ├── sub-pixar114_analysis_mask.nii.gz │ │ └── sub-pixar114_normed_anat.nii.gz │ │ ├── sub-pixar115 │ │ ├── sub-pixar115_analysis_mask.nii.gz │ │ └── sub-pixar115_normed_anat.nii.gz │ │ ├── sub-pixar116 │ │ ├── sub-pixar116_analysis_mask.nii.gz │ │ └── sub-pixar116_normed_anat.nii.gz │ │ ├── sub-pixar117 │ │ ├── sub-pixar117_analysis_mask.nii.gz │ │ └── sub-pixar117_normed_anat.nii.gz │ │ ├── sub-pixar118 │ │ ├── sub-pixar118_analysis_mask.nii.gz │ │ └── sub-pixar118_normed_anat.nii.gz │ │ ├── sub-pixar119 │ │ ├── sub-pixar119_analysis_mask.nii.gz │ │ └── sub-pixar119_normed_anat.nii.gz │ │ ├── sub-pixar120 │ │ ├── sub-pixar120_analysis_mask.nii.gz │ │ └── sub-pixar120_normed_anat.nii.gz │ │ ├── sub-pixar121 │ │ ├── sub-pixar121_analysis_mask.nii.gz │ │ └── sub-pixar121_normed_anat.nii.gz │ │ ├── sub-pixar122 │ │ ├── sub-pixar122_analysis_mask.nii.gz │ │ └── sub-pixar122_normed_anat.nii.gz │ │ ├── sub-pixar123 │ │ ├── sub-pixar123_analysis_mask.nii.gz │ │ └── sub-pixar123_normed_anat.nii.gz │ │ ├── sub-pixar124 │ │ ├── sub-pixar124_analysis_mask.nii.gz │ │ └── sub-pixar124_normed_anat.nii.gz │ │ ├── sub-pixar125 │ │ ├── sub-pixar125_analysis_mask.nii.gz │ │ └── sub-pixar125_normed_anat.nii.gz │ │ ├── sub-pixar126 │ │ ├── sub-pixar126_analysis_mask.nii.gz │ │ └── sub-pixar126_normed_anat.nii.gz │ │ ├── sub-pixar127 │ │ ├── sub-pixar127_analysis_mask.nii.gz │ │ └── sub-pixar127_normed_anat.nii.gz │ │ ├── sub-pixar128 │ │ ├── sub-pixar128_analysis_mask.nii.gz │ │ └── sub-pixar128_normed_anat.nii.gz │ │ ├── sub-pixar129 │ │ ├── sub-pixar129_analysis_mask.nii.gz │ │ └── sub-pixar129_normed_anat.nii.gz │ │ ├── sub-pixar130 │ │ ├── sub-pixar130_analysis_mask.nii.gz │ │ └── sub-pixar130_normed_anat.nii.gz │ │ ├── sub-pixar131 │ │ ├── sub-pixar131_analysis_mask.nii.gz │ │ └── sub-pixar131_normed_anat.nii.gz │ │ ├── sub-pixar132 │ │ ├── sub-pixar132_analysis_mask.nii.gz │ │ └── sub-pixar132_normed_anat.nii.gz │ │ ├── sub-pixar133 │ │ ├── sub-pixar133_analysis_mask.nii.gz │ │ └── sub-pixar133_normed_anat.nii.gz │ │ ├── sub-pixar134 │ │ ├── sub-pixar134_analysis_mask.nii.gz │ │ └── sub-pixar134_normed_anat.nii.gz │ │ ├── sub-pixar135 │ │ ├── sub-pixar135_analysis_mask.nii.gz │ │ └── sub-pixar135_normed_anat.nii.gz │ │ ├── sub-pixar136 │ │ ├── sub-pixar136_analysis_mask.nii.gz │ │ └── sub-pixar136_normed_anat.nii.gz │ │ ├── sub-pixar137 │ │ ├── sub-pixar137_analysis_mask.nii.gz │ │ └── sub-pixar137_normed_anat.nii.gz │ │ ├── sub-pixar138 │ │ ├── sub-pixar138_analysis_mask.nii.gz │ │ └── sub-pixar138_normed_anat.nii.gz │ │ ├── sub-pixar139 │ │ ├── sub-pixar139_analysis_mask.nii.gz │ │ └── sub-pixar139_normed_anat.nii.gz │ │ ├── sub-pixar140 │ │ ├── sub-pixar140_analysis_mask.nii.gz │ │ └── sub-pixar140_normed_anat.nii.gz │ │ ├── sub-pixar141 │ │ ├── sub-pixar141_analysis_mask.nii.gz │ │ └── sub-pixar141_normed_anat.nii.gz │ │ ├── sub-pixar142 │ │ ├── sub-pixar142_analysis_mask.nii.gz │ │ └── sub-pixar142_normed_anat.nii.gz │ │ ├── sub-pixar143 │ │ ├── sub-pixar143_analysis_mask.nii.gz │ │ └── sub-pixar143_normed_anat.nii.gz │ │ ├── sub-pixar144 │ │ ├── sub-pixar144_analysis_mask.nii.gz │ │ └── sub-pixar144_normed_anat.nii.gz │ │ ├── sub-pixar145 │ │ ├── sub-pixar145_analysis_mask.nii.gz │ │ └── sub-pixar145_normed_anat.nii.gz │ │ ├── sub-pixar146 │ │ ├── sub-pixar146_analysis_mask.nii.gz │ │ └── sub-pixar146_normed_anat.nii.gz │ │ ├── sub-pixar147 │ │ ├── sub-pixar147_analysis_mask.nii.gz │ │ └── sub-pixar147_normed_anat.nii.gz │ │ ├── sub-pixar148 │ │ ├── sub-pixar148_analysis_mask.nii.gz │ │ └── sub-pixar148_normed_anat.nii.gz │ │ ├── sub-pixar149 │ │ ├── sub-pixar149_analysis_mask.nii.gz │ │ └── sub-pixar149_normed_anat.nii.gz │ │ ├── sub-pixar150 │ │ ├── sub-pixar150_analysis_mask.nii.gz │ │ └── sub-pixar150_normed_anat.nii.gz │ │ ├── sub-pixar151 │ │ ├── sub-pixar151_analysis_mask.nii.gz │ │ └── sub-pixar151_normed_anat.nii.gz │ │ ├── sub-pixar152 │ │ ├── sub-pixar152_analysis_mask.nii.gz │ │ └── sub-pixar152_normed_anat.nii.gz │ │ ├── sub-pixar153 │ │ ├── sub-pixar153_analysis_mask.nii.gz │ │ └── sub-pixar153_normed_anat.nii.gz │ │ ├── sub-pixar154 │ │ ├── sub-pixar154_analysis_mask.nii.gz │ │ └── sub-pixar154_normed_anat.nii.gz │ │ └── sub-pixar155 │ │ ├── sub-pixar155_analysis_mask.nii.gz │ │ └── sub-pixar155_normed_anat.nii.gz ├── participants.json ├── participants.tsv └── task-pixar_bold.json ├── images ├── 3Dexemplar.png ├── datasplit.png ├── overview.png └── trainingExemplar.png └── prepare2DImageDataset.m /.gitattributes: -------------------------------------------------------------------------------- 1 | *.fig binary 2 | *.mat binary 3 | *.mdl binary 4 | *.mdlp binary 5 | *.mexa64 binary 6 | *.mexw64 binary 7 | *.mexmaci64 binary 8 | *.mlapp binary 9 | *.mldatx binary 10 | *.mlproj binary 11 | *.mlx binary 12 | *.p binary 13 | *.sfx binary 14 | *.sldd binary 15 | *.slreqx binary 16 | *.slmx binary 17 | *.sltx binary 18 | *.slxc binary 19 | *.slx binary merge=mlAutoMerge 20 | *.slxp binary 21 | 22 | ## Other common binary file types 23 | *.docx binary 24 | *.exe binary 25 | *.jpg binary 26 | *.pdf binary 27 | *.png binary 28 | *.xlsx binary 29 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | *.mat 2 | 3 | *.prj 4 | resources/ 5 | 6 | ds000228-1.1.0/ 7 | 2DImageSet* 8 | -------------------------------------------------------------------------------- /BrainMRIAgeClassificationUsingDeepLearning.mlx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning/1ac04b65dd6ef18a544af2129505760871b04077/BrainMRIAgeClassificationUsingDeepLearning.mlx -------------------------------------------------------------------------------- /LICENSE.md: -------------------------------------------------------------------------------- 1 | Copyright (c) 2020, The MathWorks, Inc. 2 | All rights reserved. 3 | Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 4 | 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 5 | 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 6 | 3. In all cases, the software is, and all modifications and derivatives of the software shall be, licensed to you solely for use in conjunction with MathWorks products and service offerings. 7 | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 8 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning&file=BrainMRIAgeClassificationUsingDeepLearning.mlx) [![View Brain-MRI-Age-Classification-using-Deep-Learning on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/74941-brain-mri-age-classification-using-deep-learning) 2 | 3 | # **Brain MRI Age Classification Using Deep Learning** 4 | 5 | This example shows how to work with an MRI brain image dataset and how to use transfer learning to modify and retrain ResNet-18, a pretrained convolutional neural network, to perform image classification on that dataset. 6 | 7 | | 👀 View Example | ▶️ Run Example | 8 | | :---: | :---: | 9 | | [![View Brain-MRI-Age-Classification-using-Deep-Learning on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://viewer.mathworks.com/?viewer=live_code&url=https%3A%2F%2Fwww.mathworks.com%2Fmatlabcentral%2Fmlc-downloads%2Fdownloads%2Fcb382fe4-455d-46c6-a137-a396f1cfffd7%2F9f0a19d9-cbba-4729-ad85-29a073fa2b54%2Ffiles%2FBrainMRIAgeClassificationUsingDeepLearning.mlx&embed=web) | [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning&file=BrainMRIAgeClassificationUsingDeepLearning.mlx) | 10 | 11 | ### About the Data 12 | The MRI scans used in this example were obtained during a study \[1\] of social brain development conducted by researchers at the Massachussets Institute of Technology (MIT), and are available for download via the OpenNEURO platform: 13 | https://openneuro.org/datasets/ds000228/versions/1.1.0 14 | 15 | ### About the Workflow 16 | This example uses the horizontal midslice images from the brain MRI scan volumes and classifies them into 3 categories according to the chronological age of the participant: 17 | 1. Participants Aged 3-5 18 | 2. Participants Aged 7-12 19 | 3. Participants older than 18, classified as Adults 20 | 21 | ![](images/overview.png) 22 | This example works though multiple steps of a deep learning workflow: 23 | - _Exploring_ a public brain MRI image dataset 24 | - _Preparing_ the dataset for deep learning 25 | - _Training_ a deep learning model to perform chronological age classification 26 | - _Evaluating_ the trained model 27 | 28 | ### **Running the Example** 29 | [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning&file=BrainMRIAgeClassificationUsingDeepLearning.mlx) to run the example in your web browser with no installation required. 30 | 31 | To run on your local machine or cloud instance, open & run the live script `BrainMRIAgeClassificationUsingDeepLearning.mlx`. 32 | 33 | Requires: 34 | - [MATLAB](https://www.mathworks.com/products/matlab.html) (version R2019b or later) 35 | - [Deep Learning Toolbox](https://www.mathworks.com/products/deep-learning.html) 36 | - [Image Processing Toolbox](https://www.mathworks.com/products/image.html) 37 | 38 | ## **References** 39 | \[1\] Richardson, H., Lisandrelli, G., Riobueno-Naylor, A., & Saxe, R. (2018). Development of the social brain from age three to twelve years. Nature Communications, 9(1), 1027. https://doi.org/10.1038/s41467-018-03399-2 40 | 41 | Copyright 2020 The MathWorks, Inc. 42 | -------------------------------------------------------------------------------- /ds000228-1.1.0-subset/CHANGES: -------------------------------------------------------------------------------- 1 | 1.1.0 2019-05-15 2 | - Renamed preprocessed data folder to make clear that data were not preprocessed through fmriprep, but rather were preprocessed in SPM8. Clarified timing of reverse correlation events, and provided timings for modeling conditions based on these events, accounting for the hemodynamic lag. Updated paper reference/acknowledgements. 3 | 4 | 1.0.0 2019-04-03 5 | 6 | - Initial snapshot 7 | -------------------------------------------------------------------------------- /ds000228-1.1.0-subset/README: -------------------------------------------------------------------------------- 1 | Experiment Details 2 | Participants watched Disney Pixar’s “Partly Cloudy” while lying in the scanner. There was no task; participants were simply instructed to lie still and watch the movie. The movie began after 10s of rest (black screen; TRs 1-5). The first 10s of the movie are the opening credits (disney castle, pixar logo; TRs 6-10). 3 | 4 | IPS = 168 TRs 5 | TR = 2s 6 | Experiment length: 5.6 minutes 7 | 8 | Pixar Movie Reverse Correlation Events 9 | Events defined by conducting reverse correlation analysis in two separate adult samples, using the average response in ToM brain regions (ToM events) and in the pain matrix (Pain events). Events listed are those that replicated across the two samples. Onsets and Durations are noted in TRs (1 TR = 2s); scanner trigger = TR 1. 10 | 11 | Event types: Theory of Mind (ToM), Physical Sensation/Pain (Pain) 12 | TRs identified by RC analysis, as reported in Richardson et al. 2018 13 | ToM Event Onsets; Durations 14 | 46; 2 15 | 52; 3 16 | 63; 2 17 | 91; 8 18 | 122; 3 19 | 129; 4 20 | 153; 3 21 | 22 | Pain Event Onsets; Durations 23 | 38; 2 24 | 49; 1 25 | 56; 2 26 | 71; 5 27 | 100; 2 28 | 108; 6 29 | 117; 3 30 | 134; 3 31 | 159; 2 32 | 33 | 34 | TIMING OF EVENTS FOR MODELING (taking into account hemodynamic lag (4s), scanner trigger = 0): 35 | All timings assume 10s from trigger until movie begins to play. 36 | 37 | In seconds: 38 | Mental Event Onsets; Durations 39 | 86; 4 40 | 98; 6 41 | 120; 4 42 | 176; 16 43 | 238; 6 44 | 252; 8 45 | 300; 6 46 | 47 | Pain Event Onsets; Durations 48 | 70; 4 49 | 92; 2 50 | 106; 4 51 | 136; 10 52 | 194; 4 53 | 210; 12 54 | 228; 6 55 | 262; 6 56 | 312; 4 57 | 58 | In TRs when TR=2: 59 | Mental Event Onsets; Durations 60 | 43; 2 61 | 49; 3 62 | 60; 2 63 | 88; 8 64 | 119; 3 65 | 126; 4 66 | 150; 3 67 | 68 | Pain Event Onsets; Durations 69 | 35; 2 70 | 46; 1 71 | 53; 2 72 | 68; 5 73 | 97; 2 74 | 105; 6 75 | 114; 3 76 | 131; 3 77 | 156; 2 -------------------------------------------------------------------------------- /ds000228-1.1.0-subset/dataset_description.json: -------------------------------------------------------------------------------- 1 | { 2 | "Name": "MRI data of 3-12 year old children and adults during viewing of a short animated film", 3 | "BIDSVersion": "1.0.1", 4 | "License": "PDDL", 5 | "Authors": [ 6 | "Richardson, Hilary", 7 | "Lisandrelli, Grace", 8 | "Riobueno-Naylor, Alexa", 9 | "Saxe, Rebecca" 10 | ], 11 | "Acknowledgements": "We thank the Athinoula A. Martinos Imaging Center at the McGovern Institute for Brain Research at MIT, Jorie Koster-Hale, Natalia Velez-Alicea, Mika Asaba, and Nir Jacoby for help with data collection. We thank Todd Thompson for his work making this dataset publicly available.", 12 | "HowToAcknowledge": "Richardson, H., Lisandrelli, G., Riobueno-Naylor, A., & Saxe, R. (2018). Development of the social brain from age three to twelve years. Nature communications, 9(1), 1027.", 13 | "Funding": [ 14 | "This project was supported by a NSF Graduate Research Fellowship (#1122374 to HR), and an NSF CAREER award (#095518 to RS), NIH R01-MH096914-05, a Middleton Chair grant (RS), and support from the David and Lucile Packard Foundation (to RS)" 15 | ], 16 | "ReferencesAndLinks": [ 17 | "Richardson, H., Lisandrelli, G., Riobueno-Naylor, A., & Saxe, R. (2018). Development of the social brain from age three to twelve years. Nature communications, 9(1), 1027.", 18 | "https://www.nature.com/articles/s41467-018-03399-2" 19 | ], 20 | "DatasetDOI": "" 21 | } 22 | -------------------------------------------------------------------------------- /ds000228-1.1.0-subset/derivatives/README.txt: -------------------------------------------------------------------------------- 1 | Derivatives 2 | 3 | fMRI Prep 4 | sub-[]_task-pixar_run-001_swrf_bold.nii.gz 5 | BOLD images collected during movie viewing. FMRI data were analyzed using SPM8 (http://www.fil.ion.ucl.ac.uk/spm) and custom software written in Matlab. Functional images were registered to the first image of the run; that image was registered to each participant’s anatomical image, and each participant’s anatomical image was normalized to the Montreal Neurological Institute (MNI) template. Registration of each individual’s brain to the MNI template was visually inspected, including checking the match of the cortical envelope and internal features like the AC-PC and major sulci. All data were smoothed using a Gaussian filter (5mm kernel). 6 | 7 | As participants were initially recruited for different studies, there are small differences in voxel size and slice gaps across participants (3.13 mm isotropic with no slice gap (n=5 adults, n=3 7yos, n=20 8-12yo); 3.13 mm isotropic with 10% slice gap (n=28 adults), 3 mm isotropic with 20% slice gap (n=1 3yo, n=3 4yo, n=2 7yo, n=1 9yo); 3 mm isotropic with 10% slice gap (all remaining participants)); all functional data were subsequently upsampled in normalized space to 2mm isotropic voxels. 8 | 9 | IPS = 168 TRs; 1 TR = 2s 10 | TR 1-5: Rest (black screen) 11 | TR 6-10: Pixar and Disney logos 12 | TR 11-end: Movie 13 | 14 | sub-[]_normed_anat.nii.gz 15 | Individual subject anatomical image, normalized to the Montreal Neurological Institute (MNI) template. 16 | 17 | sub-[]_analysis_mask.nii.gz 18 | Individual subject skull-stripped whole-brain mask. 19 | 20 | sub-[]_CompCor_mask.nii.gz 21 | Individual subject white matter mask, normalized in MNI space, and eroded by two voxels in every direction (in order to avoid partial voluming with grey matter). This white matter mask was used for creation of CompCor regressors. 22 | 23 | sub-[]_task-pixar_run-001_ART_and_CompCor_nuisance_regressors.mat 24 | Individual subject artifact timepoint regressors and CompCor regressors. 25 | 26 | Artifact timepoint regressors were created using the Artifact Detection Tool (ART; https://www.nitrc.org/projects/artifact_detect/) as timepoints for which there was 1) more than 2mm composite motion relative to the previous timepoint or 2) a fluctuation in global signal that exceeded a threshold of three standard deviations from the mean global signal. 27 | 28 | Compcor regressors are 5 principle component analysis (PCA)-based noise regressors generated using CompCor within individual subject eroded white matter masks. CompCor regressors were defined using scrubbed data (e.g. artifact timepoints were identified and interpolated over prior to running CompCor). 29 | 30 | 31 | 32 | ROIs (Regions of Interest) 33 | Center coordinates are in MNI space; size is in voxels. 34 | 35 | ToM Network 36 | RTPJ_9mm_sphere_xyz.mat (center: 48,-60,30; size: 376) 37 | LTPJ_9mm_sphere_xyz.mat (center: -48,-62,30; size: 368) 38 | PC_9mm_sphere_xyz.mat (center: 0,-54,34; size: 382) 39 | DMPFC_9mm_sphere_xyz.mat (center: -6,54,36; size: 217) 40 | MMPFC_9mm_sphere_xyz.mat (center: -4,58,16; size: 275) 41 | VMPFC_9mm_sphere_xyz.mat (center: -4,56,-16; size: 198) 42 | 43 | Pain Matrix 44 | RS2_9mm_sphere_xyz.mat (center: 60,-28,38; size: 368) 45 | LS2_9mm_sphere_xyz.mat (center: -62,-32,34; size: 269) 46 | RInsula_9mm_sphere_xyz.mat (center: 42,6,-6; size: 309) 47 | LInsula_9mm_sphere_xyz.mat (center: -42,-2,-4; size: 240) 48 | RMFG_9mm_sphere_xyz.mat (center: 50,42,12; size: 142) 49 | LMFG_9mm_sphere_xyz.mat (center: -46,36,14; size: 256) 50 | AMCC_9mm_sphere_xyz.mat (center: 0,2,42; size: 249) 51 | 52 | Face Network 53 | rSTS_masked.mat 54 | lSTS.mat 55 | rOFA.mat 56 | lOFA.mat 57 | rFFA.mat 58 | lFFA.mat 59 | 60 | Place Network 61 | rRSC.mat 62 | lRSC.mat 63 | rTOS.mat 64 | lTOS.mat 65 | rPPA.mat 66 | lPPA.mat 67 | 68 | Primary motor cortex 69 | right_primotor.mat 70 | left_primotor.mat 71 | 72 | Primary visual cortex 73 | right_CS.mat 74 | left_CS.mat 75 | 76 | 77 | ToM and pain matrix group ROIs were created in an independent group of adults (n=20), scanned by Evelina Fedorenko and colleagues. These data were preprocessed and analyzed with procedures identical to those used for participants in the current study. Reverse correlation analyses were conducted in this separate group of adults, using 10mm group ROIs surrounding peaks reported in previous publications (ToM regions: Dufour et al., 2013; Pain matrix: Bruneau et al., 2015). Seven ToM and nine pain events were identified (ToM: 60s total, M(SD) length: 8.6(4.6)s, Pain: 66s total, M(SD) length: 7.3(4.4)s). We subsequently used a general-linear model to analyze BOLD activity of these participants as a function of condition, using these events. Second-level random effects analyses were used to examine the group-level response to Mental > Pain and Pain> Mental (p<.001, k=10, uncorrected). We then drew 9mm spheres surrounding the peak activation in each region. 78 | 79 | Face and scene parcels are publicly available (http://web.mit.edu/bcs/nklab/GSS.shtml), and described in: 80 | Julian, J. B., Fedorenko, E., Webster, J. & Kanwisher, N. An algorithmic method for functionally defining regions of interest in the ventral visual pathway. NeuroImage 60, 2357–2364 (2012). 81 | 82 | Primary motor and visual cortex ROIs are 10mm spheres drawn around peak coordinates generated with Neurosynth (http://neurosynth.org/; M1: search term: “primary motor,” coordinates: [38,-24,58], [-38,-20,58]; V1: search term: “primary visual,” coordinates: [-10 -86 2], [10 -86 2]. 83 | 84 | -------------------------------------------------------------------------------- /ds000228-1.1.0-subset/derivatives/preprocessed_data/sub-pixar001/sub-pixar001_analysis_mask.nii.gz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning/1ac04b65dd6ef18a544af2129505760871b04077/ds000228-1.1.0-subset/derivatives/preprocessed_data/sub-pixar001/sub-pixar001_analysis_mask.nii.gz -------------------------------------------------------------------------------- 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The ToM battery is publicly available at the link below.", 6 | "TermURL":"osf.io/g5zpv" 7 | }, 8 | "ToM Booklet-Matched":{ 9 | "Description":"Proportion of questions answered correctly on n=24 matched items in behavioral battery. These items include the six explicit false-belief questions used to group children based on false-belief task performance." 10 | }, 11 | "ToM Booklet-Matched-NOFB":{ 12 | "Description":"Proportion of questions answered correctly on n=18 matched items in behavioral battery. These items do not include the six explicit false-belief questions used to group children based on false-belief task performance." 13 | }, 14 | "FB_Composite":{ 15 | "Description":"Number of explicit false-belief questions answered correctly, out of six questions. This number was used to group children as false belief task passers (5-6 out of 6 correct), inconsistent performers (3-4 out of 6 correct), and failers (0-2 out of 6 correct)." 16 | }, 17 | "FB_Group":{ 18 | "Description":"Explicit false-belief task groups. Groups were assigned based on the number of explicit FB questions answered correctly (see FB_Composite)", 19 | "Levels":{ 20 | "Pass":"5-6 out of 6 FB questions correct", 21 | "Inc":"3-4 out of 6 FB questions correct", 22 | "Fail":"0-2 out of 6 FB questions correct" 23 | } 24 | }, 25 | 26 | 27 | "Nonverbal IQ Measures Metadata":{ 28 | "Description":"Nonverbal IQ was measured with the Wechsler Preschool and Primary Scale of Intelligence (WPPSI) Block Design task for all children younger than age five years (n=65). Children five years and older completed the Matrices task of the Kaufman Brief Intelligence Test (KBIT-2)" 29 | }, 30 | "WPPSI BD raw":{ 31 | "Description": "Raw score on WPPSI block design task" 32 | }, 33 | "WPPSI BD scaled":{ 34 | "Description": "Scaled score on WPPSI block design task" 35 | }, 36 | "KBIT_raw":{ 37 | "Description": "Raw score on KBIT nonverbal matrices task" 38 | }, 39 | "KBIT_standard":{ 40 | "Description": "Standardized score on KBIT nonverbal matrices task" 41 | } 42 | }, 43 | 44 | 45 | "Dimensional Change Card Sort Metadata":{ 46 | "Description":"Dimensional Change Card Sort (DCCS) is a task that measures the response inhibition component of executive functions, designd for young children (Zelazo, 2006). Children ages 3-5 years old completed this task. The task is comprised of two versions: the standard version (pre-switch task and post-switch task), where children have to sort cards according to one rule (pre-switch), and then according to a new rule (post-switch), and the border version, where children must sort cards according to two rules, depending on whether the card has a border. The shared data is the summary score (0-3), described below.", 47 | "Levels":{ 48 | "0": "Child failed the pre-switch phase of the task (fewer than 6/6 pre-switch trials correct", 49 | "1": "Child passed the pre-switch phase of the task (6/6 correct) but fail the post-switch phase (fewer than 5/6 post-switch trials correct", 50 | "2": "Child passed the pre- and post-switch phase of the task (6/6 pre-switch trials correct, 5-6/6 post-switch trials correct), but fail the border version of the task (fewer than 9/12 border trials correct", 51 | "3": "Child passed the pre- and post-switch phase of the standard task, and passed the border version of the task" 52 | } 53 | }, 54 | 55 | 56 | "Scanlog Metadata":{ 57 | "Description":"Whole-brain structural and functional MRI data were acquired on one of two 3-Tesla Siemens Tim Trio scanners located at the Athinoula A. Martinos Imaging Center at MIT, using one of three 32-channel head coils (see Coil column). As participants were initially recruited for different studies, there are small differences in voxel size and slice gaps across participants (voxel size: 3 mm vs. 3.13 mm isotropic; slice gap: 0, 10% and 20%)." 58 | }, 59 | 60 | 61 | "Scanlog: Scanner":{ 62 | "Levels": { 63 | "3T1": "Scanner 1", 64 | "3T2": "Scanner 2" 65 | } 66 | }, 67 | 68 | "Scanlog: Coil":{ 69 | "Description":"Children under age five years used one of two custom 32-channel phased-array head coils made for younger (n=3, M(SD)=3.91(.42) years) or older (n=28, M(SD)=4.07(.42) years) children (Keil et al., 2011); all other participants used the standard Siemens 32-channel head coil.", 70 | "Levels":{ 71 | "5-6yo 32ch":"Custom 32ch coil made for young children", 72 | "7-8yo 32ch":"Custom 32ch coil made for older children", 73 | "32ch adult": "Standard Siemens 32-channel head coil" 74 | } 75 | }, 76 | 77 | "Scanlog: Voxel Size":{ 78 | "Levels":{ 79 | "3mm iso":"3mm isotropic", 80 | "3.13 mm iso": "3.13 mm isotropic" 81 | } 82 | }, 83 | 84 | "Scanlog: Slice Gap":{ 85 | "Levels":{ 86 | "None":"No slice gap", 87 | ".1":"10% slice gap", 88 | ".2":"20% slice gap" 89 | } 90 | } 91 | } -------------------------------------------------------------------------------- /ds000228-1.1.0-subset/participants.tsv: -------------------------------------------------------------------------------- 1 | participant_id Age AgeGroup Child_Adult Gender Handedness ToM Booklet-Matched ToM Booklet-Matched-NOFB FB_Composite FB_Group WPPSI BD raw WPPSI BD scaled KBIT_raw KBIT_standard DCCS Summary Scanlog: Scanner Scanlog: Coil Scanlog: Voxel slize Scanlog: Slice Gap 2 | sub-pixar001 4.774811773 4yo child M R 0.8 0.736842105 6 pass 22 13 n/a n/a 3 3T1 7-8yo 32ch 3mm iso 0.1 3 | sub-pixar002 4.856947296 4yo child F R 0.72 0.736842105 4 inc 18 9 n/a n/a 2 3T1 7-8yo 32ch 3mm iso 0.1 4 | sub-pixar003 4.153319644 4yo child F R 0.44 0.421052632 3 inc 15 9 n/a n/a 3 3T1 7-8yo 32ch 3mm iso 0.1 5 | sub-pixar004 4.473648186 4yo child F R 0.64 0.736842105 2 fail 17 10 n/a n/a 3 3T1 7-8yo 32ch 3mm iso 0.2 6 | sub-pixar005 4.837782341 4yo child F R 0.6 0.578947368 4 inc 13 5 n/a n/a 2 3T1 7-8yo 32ch 3mm iso 0.2 7 | sub-pixar006 3.605749487 3yo child F R 0.52 0.526315789 3 inc 9 6 n/a n/a 2 3T1 7-8yo 32ch 3mm iso 0.2 8 | sub-pixar007 4.249144422 4yo child M R 0.454545455 0.5 2 fail 8 3 n/a n/a 1 3T2 7-8yo 32ch 3mm iso 0.2 9 | sub-pixar008 3.529089665 3yo child F R 0.625 0.611111111 4 inc 16 11 n/a n/a 3 3T1 7-8yo 32ch 3mm iso 0.1 10 | sub-pixar009 3.518138261 3yo child M R 0.416666667 0.5 1 fail 12 8 n/a n/a 1 3T2 5-6yo 32ch 3mm iso 0.1 11 | sub-pixar010 4.358658453 4yo child M R 0.72 0.842105263 2 fail 18 10 n/a n/a 2 3T2 5-6yo 32ch 3mm iso 0.1 12 | sub-pixar011 3.983572895 3yo child F R 0.428571429 0.375 3 inc 18 12 n/a n/a 0 3T1 7-8yo 32ch 3mm iso 0.1 13 | sub-pixar012 3.786447639 3yo child F R 0.36 0.421052632 1 fail 19 13 n/a n/a 2 3T2 7-8yo 32ch 3mm iso 0.1 14 | sub-pixar013 3.849418207 3yo child M R 0.818181818 0.75 6 pass 19 13 n/a n/a 2 3T2 5-6yo 32ch 3mm iso 0.1 15 | sub-pixar014 3.635865845 3yo child M R 0.72 0.684210526 5 pass 16 11 n/a n/a 2 3T1 7-8yo 32ch 3mm iso 0.1 16 | sub-pixar015 4.76659822 4yo child F R 0.88 0.842105263 6 pass 22 14 n/a n/a 2 3T2 7-8yo 32ch 3mm iso 0.1 17 | sub-pixar016 3.622176591 3yo child M R 0.52 0.631578947 1 fail 18 13 n/a n/a 1 3T1 7-8yo 32ch 3mm iso 0.1 18 | sub-pixar017 3.613963039 3yo child F L 0.347826087 0.411764706 1 fail 11 7 n/a n/a 0 3T1 7-8yo 32ch 3mm iso 0.1 19 | sub-pixar018 4.577686516 4yo child M R 0.56 0.578947368 3 inc 15 7 n/a n/a 2 3T1 7-8yo 32ch 3mm iso 0.1 20 | sub-pixar019 3.969883641 3yo child M R 0.347826087 0.470588235 0 fail 21 15 n/a n/a 2 3T2 7-8yo 32ch 3mm iso 0.1 21 | sub-pixar020 3.594798084 3yo child M L 0.52 0.631578947 1 fail 12 8 n/a n/a 2 3T2 7-8yo 32ch 3mm iso 0.1 22 | sub-pixar021 4.364134155 4yo child F R 0.56 0.578947368 3 inc 17 10 n/a n/a 2 3T2 7-8yo 32ch 3mm iso 0.1 23 | sub-pixar022 3.822039699 3yo child F R 0.36 0.315789474 3 inc n/a n/a n/a n/a n/a 3T2 7-8yo 32ch 3mm iso 0.1 24 | sub-pixar023 3.865845311 3yo child F R 0.8 0.789473684 5 pass 17 11 n/a n/a 2 3T2 7-8yo 32ch 3mm iso 0.1 25 | sub-pixar024 4.057494867 4yo child M R 0.64 0.578947368 5 pass 18 11 n/a n/a 2 3T1 7-8yo 32ch 3mm iso 0.1 26 | sub-pixar025 3.93155373 3yo child F R 0.76 0.736842105 5 pass 16 10 n/a n/a 3 3T2 7-8yo 32ch 3mm iso 0.1 27 | sub-pixar026 3.93155373 3yo child F R 0.6 0.736842105 1 fail 16 10 n/a n/a 2 3T2 7-8yo 32ch 3mm iso 0.1 28 | sub-pixar027 3.989048597 3yo child F R 0.4 0.526315789 0 fail 12 7 n/a n/a 1 3T2 7-8yo 32ch 3mm iso 0.1 29 | sub-pixar028 3.534565366 3yo child M R 0.24 0.315789474 0 fail 16 11 n/a n/a 3 3T2 7-8yo 32ch 3mm iso 0.1 30 | sub-pixar029 4.309377139 4yo child M Ambi 0.56 0.526315789 4 inc 15 8 n/a n/a 3 3T2 7-8yo 32ch 3mm iso 0.1 31 | sub-pixar030 4.156057495 4yo child F R 0.68 0.684210526 4 inc 23 16 n/a n/a 3 3T1 7-8yo 32ch 3mm iso 0.1 32 | sub-pixar031 4.084873374 4yo child F R 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"TaskName": "pixar", 37 | "dcmmeta_shape": [ 38 | 64, 39 | 64, 40 | 32, 41 | 168 42 | ], 43 | "Manufacturer": "Siemens", 44 | "CogAtlasID": "http://www.cognitiveatlas.org/task/id/trm_4c898da401420" 45 | } 46 | -------------------------------------------------------------------------------- /images/3Dexemplar.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning/1ac04b65dd6ef18a544af2129505760871b04077/images/3Dexemplar.png -------------------------------------------------------------------------------- /images/datasplit.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning/1ac04b65dd6ef18a544af2129505760871b04077/images/datasplit.png -------------------------------------------------------------------------------- /images/overview.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning/1ac04b65dd6ef18a544af2129505760871b04077/images/overview.png -------------------------------------------------------------------------------- /images/trainingExemplar.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/matlab-deep-learning/Brain-MRI-Age-Classification-using-Deep-Learning/1ac04b65dd6ef18a544af2129505760871b04077/images/trainingExemplar.png -------------------------------------------------------------------------------- /prepare2DImageDataset.m: -------------------------------------------------------------------------------- 1 | function exemplars = prepare2DImageDataset(srcPath,dstPath,augmentDataset,applySkullStripping) 2 | %PREPARE2DIMAGEDATASET Prepare 2D midslice image dataset folders from 3D brain volume dataset folders 3 | % 4 | % OUTPUTS 5 | % exemplars: cell array of exemplar 2D midslice images (without skull-stripping or augmentation operations) as a reference, one per age class 6 | % 7 | % USAGE 8 | % exemplars = prepare2DImageDataset(srcPath): returns exemplar images for each class without preparing 2D image dataset folder 9 | % prepare2DImageDataset(srcPath,dstPath, ...): creates 2D midslice image dataset folder in specified dstPath 10 | % 11 | 12 | arguments 13 | srcPath (1,:) char % source folder location of 3D brain volumes, organized by participant folders 14 | dstPath (1,:) char = '' % destination folder for 2D axial midslice images, organized by age class folders 15 | augmentDataset (1,1) logical = false % specify whether to apply offline data augmentation (a copy of image flipped 180 degrees). 16 | applySkullStripping (1,1) logical = false % specify whether to apply skull-stripping 17 | end 18 | 19 | % Create classification image set folders 20 | if ~isempty(dstPath) 21 | assert(~exist(dstPath,'dir')); 22 | mkdir(dstPath); 23 | end 24 | 25 | % Load 3D image volumes into MATLAB workspace 26 | allFiles = dir(fullfile(srcPath,'*','*_anat.nii.gz')); 27 | 28 | fileDir = fullfile({allFiles.folder},{allFiles.name}); 29 | 30 | srcDir_3to5 = fileDir(1:65); 31 | srcDir_7to12 = fileDir(66:122); 32 | srcDir_Adults = fileDir(123:155); 33 | 34 | % Load brain volumes into MATLAB workspace 35 | brainVolumes_3to5 = cellfun(@niftiread,srcDir_3to5,'UniformOutput',false); 36 | brainVolumes_7to12 = cellfun(@niftiread,srcDir_7to12,'UniformOutput',false); 37 | brainVolumes_Adults = cellfun(@niftiread,srcDir_Adults,'UniformOutput',false); 38 | 39 | % Load skull stripping masks into MATLAB workspace 40 | if applySkullStripping 41 | allFiles = dir(fullfile(srcPath,'*','*_analysis_mask.nii.gz')); 42 | fileDir = fullfile({allFiles.folder},{allFiles.name}); 43 | 44 | skullMaskDir_3to5 = fileDir(1:65); 45 | skullMaskDir_7to12 = fileDir(66:122); 46 | skullMaskDir_Adults = fileDir(123:155); 47 | 48 | skullMask_3to5 = cellfun(@niftiread,skullMaskDir_3to5,'UniformOutput',false); 49 | skullMask_7to12 = cellfun(@niftiread,skullMaskDir_7to12,'UniformOutput',false); 50 | skullMask_Adults = cellfun(@niftiread,skullMaskDir_Adults,'UniformOutput',false); 51 | else 52 | skullMask_3to5 = []; 53 | skullMask_7to12 = []; 54 | skullMask_Adults = []; 55 | end 56 | 57 | % Call the helper function prepare2DImageDataset_ for the set of 58 | % participant folders in each age group. Obtain an exemplar image for each 59 | % age group. If a destination folder is supplied, this helper extracts and 60 | % normalizes 2D image sets, with skull-stripping and augmentation 61 | % optionally applied. 62 | exemplars = cell(3,1); 63 | exemplars{1} = prepare2DImageDataset_(brainVolumes_3to5,fullfile_(dstPath,'Ages3-5'),augmentDataset,applySkullStripping, skullMask_3to5); 64 | exemplars{2} = prepare2DImageDataset_(brainVolumes_7to12,fullfile_(dstPath,'Ages7-12'),augmentDataset,applySkullStripping, skullMask_7to12); 65 | exemplars{3} = prepare2DImageDataset_(brainVolumes_Adults,fullfile_(dstPath,'Adults'),augmentDataset,applySkullStripping, skullMask_Adults); 66 | 67 | 68 | end 69 | 70 | % Helper function prepare2DImageDataset_ reads from a set (cell array) of 71 | % source folders containing participant 3D volume data. It computes 2D 72 | % image extraction, normalization, and optional processing as described 73 | % above. It returns a single 2D image exemplar and writes the computed 2D 74 | % image files to a destination folder (if specified). 75 | function exemplar = prepare2DImageDataset_(srcFolders,dstFolder,applyAugmentation,applySkullStripping,skullStrippingMask) 76 | 77 | if ~isempty(dstFolder) 78 | assert(~exist(dstFolder,'dir')); 79 | mkdir(dstFolder); 80 | end 81 | 82 | [~, ~, k, ~] = size(srcFolders{1}); 83 | 84 | % Extract axial mid-slice from each image volume 85 | mid_slices = cellfun(@squeeze,cellfun(@double,cellfun(@(x)x(:,:,round(k/2),1),srcFolders,'un',0),'UniformOutput',false),'UniformOutput',false); 86 | 87 | % Include data from the preprocessed image that does not include the skull 88 | % This section only runs if you wish to 'strip' away the skull 89 | if applySkullStripping 90 | nii_strip_read = skullStrippingMask; 91 | mid_slices_unstrip = cellfun(@squeeze,cellfun(@double,cellfun(@(x)x(:,:,round(k/2),1),srcFolders,'un',0),'UniformOutput',false),'UniformOutput',false); 92 | mid_slices_strip = cellfun(@squeeze,cellfun(@double,cellfun(@(x)x(:,:,round(k/2),1),nii_strip_read,'un',0),'UniformOutput',false),'UniformOutput',false); 93 | mid_slices = cellfun(@immultiply,mid_slices_strip,mid_slices_unstrip,'UniformOutput',false); 94 | end 95 | 96 | % Normalize the intensity of the images, and save then in an RGB format 97 | high = cellfun(@max,(cellfun(@max,mid_slices,'UniformOutput',false))); 98 | low = cellfun(@min,(cellfun(@min,mid_slices,'UniformOutput',false))); 99 | range = abs(high-low)+1; 100 | temp = num2cell(low); 101 | mid_slices = cellfun(@minus,mid_slices,temp,'UniformOutput',false); 102 | 103 | range = arrayfun(@linspace,zeros(size(range)),ones(size(range)),range,'UniformOutput',false); 104 | map = cellfun(@(x) repmat(x',1,3),range,'UniformOutput',false); 105 | convert2img = cellfun(@ind2rgb, mid_slices,map,'UniformOutput',false); 106 | 107 | avg_intensity = mean(cell2mat(cellfun(@imhist,convert2img,'UniformOutput',false)),2); 108 | 109 | % Create a copy of the image and rotate it by 180 degrees 110 | if applyAugmentation 111 | convert2img_2 = cellfun(@ind2rgb, cellfun(@(x)rot90(x,2),mid_slices,'UniformOutput',false),map,'UniformOutput',false); 112 | avg_intensity_2 = mean(cell2mat(cellfun(@imhist,convert2img_2,'UniformOutput',false)),2); 113 | end 114 | 115 | % Save images in folders sorted by age range 116 | for i = 1:numel(mid_slices) 117 | 118 | fileName = sprintf('image_%03d.png', i); 119 | outImg = histeq(convert2img{i},avg_intensity); 120 | 121 | if ~isempty(dstFolder) % 122 | imwrite(outImg,fullfile(dstFolder,fileName),'mode','lossless'); 123 | end 124 | 125 | if i == 1 126 | exemplar = outImg; 127 | end 128 | 129 | if applyAugmentation 130 | fileName_2 = sprintf('image2_%03d.png', i); 131 | outImg_2 = histeq(convert2img_2{i},avg_intensity_2); 132 | 133 | if ~isempty(dstFolder) 134 | imwrite(outImg_2, fullfile(dstFolder,fileName_2),'mode','lossless'); 135 | end 136 | end 137 | end 138 | 139 | end 140 | 141 | function fname = fullfile_(dstFolder,varargin) 142 | if isempty(dstFolder) 143 | fname = []; 144 | else 145 | fname = fullfile(dstFolder,varargin{:}); 146 | end 147 | end 148 | 149 | % Copyright 2020-2021 The MathWorks, Inc. --------------------------------------------------------------------------------