GitHub - vikashg/SuperResolutionDTI

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
GetPot		GetPot
Utilities		Utilities
inc		inc
src		src
CMakeLists.txt		CMakeLists.txt
CMakeLists.txt.user		CMakeLists.txt.user
EstimateTensors.cpp		EstimateTensors.cpp
README		README
STKEstimateTensors.cpp		STKEstimateTensors.cpp
STKEstimateTensors_CWLS.cpp		STKEstimateTensors_CWLS.cpp
STKEstimateTensors_DispField.cpp		STKEstimateTensors_DispField.cpp
STKEstimateTensors_DispField_backup.cpp		STKEstimateTensors_DispField_backup.cpp
STKTensorEstimation_v2.cpp		STKTensorEstimation_v2.cpp
StupidTensorEstimation.cpp		StupidTensorEstimation.cpp
temp_JTEstimation.txt		temp_JTEstimation.txt
temp_STKEstimateTensors.cpp		temp_STKEstimateTensors.cpp

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This code is for computing Super-resolution on Diffusion Tensor Images. The algorithm is implemented based on the following paper. 

Vikash Gupta, Nicholas Ayache, Xavier Pennec, Improving DTI resolution from a single clinical acquisition: a statistical approach using spatial prior. Medical Image Computing and Computer Assisted Intervention 2013 (MICCAI), volume 8151 of Lecture Notes in Computer Science - LNCS, Nagoya, Japon, pages 477-484, 2013

More documentation regarding the usage are coming soon.