[Insight-users] suggestions for ITK-based projects for a graduate image analysis class?
Leila Baghdadi
baghdadi at phenogenomics.ca
Wed Sep 26 10:58:13 EDT 2012
Hi Michel,
I was actually looking at a few of the ITK projects I have done in the past and wondering if I could find some free time to rewrite some of them for ITK4 and submit them to the journal,
so not sure if this is exactly the right thing for your students but I am gonna give it a shot anyways,
1. BET (brain segmentation algorithm) http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/
I wrote the code for ITK 3.2 sometime ago and found it very useful, infact I think it was used to segment preterm baby brains. not sure if this is in ITK yet
2. simplex deformable model segmentation (multi-object) --> I added extra code for multi-object and collision detection of multi-mouse embryo segmentation, also in ITK3.2
published last year http://www.ncbi.nlm.nih.gov/pubmed/21679425
Leila
----- Original Message -----
From: "Audette, Michel A." <maudette at odu.edu>
Sent: Wed, 9/26/2012 10:42am
To: insight-users at itk.org
Subject: [Insight-users] suggestions for ITK-based projects for a graduate image analysis class?
Dear ITK users,
I am teaching a graduate class in medical image analysis, and I would like to provide my students with a list of possible projects based on ITK that could implement recent algorithms, which possibly could then be submitted to Insight Journal and meet some needs of the ITK community. This class is based on the Toennies textbook from 2012, and will feature a number of registration and segmentation techniques, including graph cuts and level sets, as well as meshing methods not in the textbook. These projects will be for two students on which to collaborate, typically.
If the community has any suggestions on how ITKv4 might be extended, based on recent papers in MICCAI, MedIA, or IEEE TMI, please let me know as soon as possible. Thanks for your kind consideration.
Cheers,
Michel
Michel Audette, Ph.D.
Assistant Professor,
Department of Modeling, Simulation and Visualization Engineering,
Old Dominion University,
Norfolk, VA.
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