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Medical Image Registration

Python 31.93% Shell 5.79% Jupyter Notebook 62.28%

tutorial-medical-image-registration's Introduction

This is a tutorial for anyone who wants to learn Medical Image Registration

The tutorial is divided into four parts:

Pre / Pos - Processing:
- Intensity Normalization
- Space Normalization
- Brain Extraction
- Validation
Registration with Classical Methodologies:
- AIR
- Demons Diffeomorfic
- DRAMMS
- DROP
- Dartel
- FLIRT
- FNIRT
- SyN
Registration with Deep Learning
- Learning to use Autoencoders (Autoencoder (shallow), Deep Autoencoder and Convolutional Autoencoder)
Interesting Platforms to Learn and Use
- AFNI
- ANTs
- BIAL
- FSL
- Freesurfer
- 3D Slicer
- MedInria
- Medpy
- Nipype
- NiftyReg

Paper Sibgrapi (2018) -> A Practical Review on Medical Image Registration: from Rigid to Deep Learning based Approaches

http://sibgrapi.sid.inpe.br/col/sid.inpe.br/sibgrapi/2018/09.11.00.20/doc/Paper%20ID%20Tutorial-1.pdf

Slides Tutorial:

Part 1: http://www.imago.ufpr.br/sibgrapi2018/PART1-TUTORIAL_FUNDAMENTAL.pdf.pdf

Part 2 and 3: http://www.imago.ufpr.br/sibgrapi2018/tutorials.php

Tutorial Videos:

https://www.youtube.com/playlist?list=PLqoEuqQOzdkthOTuuXq4Ect4AS90lrsM5

Coming soon:

Undergraduate thesis: A Practical Review on Medical Image Registration

Do not forget to cite the article and this content!:wink:

For more information visit:

Group for Innovation Based on Images and Signals (GIBIS): http://gibis.unifesp.br/

Universidade Federal de São Paulo (UNIFESP) - Instituto de Ciência e Tecnologia (ICT) - BRASIL

http://www.unifesp.br/campus/sjc/

AUTHOR: NaTaNdRaDe

tutorial-medical-image-registration's People

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