Multiple Sclerosis Lesion Segmentation

Introduction

One of the interesting topics in Medical Imaging is the MS Lesion Segmentation, which has been a challenging task for many years in MICCAI [1] and ISBI [2].

The following presentation summarize briefly the motivation and the pipeline:

Project Phases

Phase	Period	Assigned to	Materials	Results so far
Sparse Coding and Dictionary Learning	TBA	all	Slides I Slides II Lecture
Multiple Sclerosis Lesion Segmentation	TBA	all	Paper: MICCAI 2013 Paper: STMI-MICCAI 2014 Paper: ISBI_Challenge 2015 Paper: MICCAI 2010, Detailed version
Domain Independent/ Domain Adaptation	TBA	all	Paper: MLMI-MICCAI 2014 Paper: CVPR 2013
Bonus: Brain Segmentation (GM, WM ...etc.)	TBA	all

What you are going to learn:

• Sparse Coding (SC) and Dictionary Learning (DL).
• Figure out the beauty of Sparse Coding.
• DL & SC Application in Medical Imaging.
• ...

Programming Language

• MATLAB

Useful Links

• BrainWeb: Simulated MS Lesion Dataset
• BrainWeb: Anatomic Models
• Spams-Toolbox
• CVX-Toolbox
• Github

References

• [1] MS Lesion Segmentation in MICCAI challenge 2008, http://www.ia.unc.edu/MSseg/
• [2] MS Lesion Segmentation in ISBI 2015, http://iacl.ece.jhu.edu/MSChallenge