Fast T2 relaxation data analysis with stimulated echo correction and non-local spatial regularisation
The details of the method are given the following papers:
Yoo, Youngjin et al., "Fast computation of myelin maps from MRI T2 relaxation data using multicore CPU and graphics card parallelization." Journal of Magnetic Resonance Imaging (2014).
Yoo, Youngjin, and Roger Tam. "Non-local spatial regularization of MRI T2 relaxation images for myelin water quantification." In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013, pp. 614-621. Springer Berlin Heidelberg, 2013.
The JMRI paper stated that we intented to contribute to Gadgetron, but we found that NITRC seems to be a better fit so we have decided to share our code through NITRC.
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Recent Activity - Forums
Welcome to Open-Discussion posted by Youngjin Yoo on Mar 26, 2014
Welcome to Help posted by Youngjin Yoo on Mar 26, 2014
Recent Activity - Files
nlsrnnls: POSIX style command line interface and 48-echo input data release
nlsrNNLS_32echo.zip posted by Youngjin Yoo on Aug 23, 2016
nlsrnnls: POSIX style command line interface and 48-echo input data release
nlsrNNLS_48echo.zip posted by Youngjin Yoo on Aug 23, 2016
nlsrnnls: memory corruption problem in NNLS_CPU.cpp has been fixed. release
nlsrNNLS.zip posted by Youngjin Yoo on Sep 30, 2014
nlsrnnls: Initial source code release release
nlsrNNLS.zip posted by Youngjin Yoo on Mar 26, 2014
nlsrnnls: Initial source code release release
http://youngjinyoo.weebly.com/code.html posted by Youngjin Yoo on Mar 26, 2014