Computational Biomedical Imaging Laboratory
Research Projects
Two-dimensional phase unwrapping
Executable
Matlab file: Unwrap.dll
Compiled
with Matlab 7.0
To
use the function.
o Scale the wrapped image to (-0.5, 0.5)
o Save the wrapped image as “WrapImage”
o Type “Image=Unwrap(WrapImage);” to unwrap “WrapImage” and save as “Image”
For
details on the approach used in the software, refer to.
o L. Ying, Z.-P. Liang, D. C.
Munson, Jr., R. Koetter, B. Frey, “Unwrapping MR phase images by a Markov
random field model,” IEEE Transactions on Medical Imaging, vol. 25,
No. 1, pp. 128-136, January 2006.
Joint estimation of coil
sensitivities and image in parallel imaging
JSENSE
is a software package in Matlab for reconstruction of
both the coil sensitivities and the final image simultaneously.
Download
the software: JSENSE.zip
The
details of JSENSE can be found in
Cartesian
trajectories: L. Ying and J. Sheng, “Joint
image reconstruction and sensitivity estimation in SENSE (JSENSE),” Magnetic
Resonance in Medicine, vol. 57, No. 6, pp. 1196-1202, June 2007.
Arbitrary
trajectories: J. Sheng, B. Liu, L. Ying, “Improved self-calibrated spiral
parallel imaging using JSENSE,” Medical Engineering and Physics,
vol. 31, No. 5, pp. 510-514, June 2009.
Nonlinear GRAPPA: a kernel
approach to parallel MRI reconstruction
Software
implementation of nonlinear GRAPPA method
Matlab code and examples: NLGRAPPA.zip
The
details of JSENSE can be found in
o Y.
Chang, D. Liang, L. Ying, “Nonlinear
GRAPPA: a kernel approach to parallel MRI reconstruction,” Magnetic Resonance in
Medicine.
o Y.
Chang, D. Liang, L. Ying, “A
kernel approach to parallel MRI reconstruction,” Proceedings of IEEE International Symposium on Biomedical
Imaging, pp. 389-392, 2011
We welcome collaborations on applications of our developed techniques. Please contact Dr. Leslie Ying.