├── LICENSE
└── README.md


/LICENSE:
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 1 | MIT License
 2 | 
 3 | Copyright (c) 2020 MedicalImageAnalysisTutorials
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


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/README.md:
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 1 | # Image Registration Tutorials
 2 | 
 3 | This repository provides colab python notebooks (you can also run these notebooks using jupyter) that help beginners to learn and practice image registration in a simple way using arrays. I try to explain the math behind image registration components using simple python code.
 4 | 
 5 | Your feedback and support is appreciated. 
 6 | 
 7 | Contents: 
 8 | 
 9 | * [Image registration using mean square metric, 2d translation transform, and gradient descent](https://github.com/MedicalImageAnalysisTutorials/ImageRegistrationTutorial/blob/master/m2p_image_registration_example_mse_translation_GradientDescent.ipynb)
10 |   - TODO 03: implement a simple interpolation
11 |   - TODO 04: implement a simple transformation
12 | * [Image registration using mutual information, 2d translation transform, and gradient descent]()
13 | * [Image registration using mean square metric, 2d translation transform, and stochastic gradient descent]()
14 | * [Image registration using mutual information, 2d translation transform, and stochastic gradient descent]()
15 | * [Image registration using mean square metric, 2d rigid transform, and gradient descent]()
16 | * [Image registration using mutual information, 2d rigid transform, and gradient descent]()
17 | * [Image registration using mean square metric, 2d rigid transform, and stochastic gradient gradient descent]()
18 | * [Image registration using mutual information, 2d rigid transform, and stochastic gradient gradient descent]()
19 | 
20 | 
21 | Other TODOs:
22 | - Colab Tutorial:
23 |   - colab interface and menus 
24 |   - create a notebook and run your first code
25 |   - navigate between sections.
26 |   - Advance: 
27 |     - customise you keyboard shortcut
28 |     - change runtime type
29 |     - connect to google drive
30 |     - basic linux commands
31 | 
32 | - Youtube version with English and Arabic languages.
33 | - Youtube: building ITK from source on clean ubuntu 20.04 system , building and run first example, tracing some code.
34 | 
35 | 
36 | 
37 | 
38 |   
39 | 


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