Randomised high resolution 4D volumes synthesis
dataset
posted on 2021-09-13, 18:33 authored by Xin Chen, Andrew King, Claudia Prieto Vasquez, Daniel Robert Malcolm Balfour, Andrew Jonathan Reader, Paul Kenneth Marsden, Muhammad Usman, Christian Baumgartner- EPSRC funded project to investigate machine learning based methods to use MR data for motion correction of PET data
- Data acquired from healthy volunteer with ethics and consent
- Code does not have warranty and for research purpose only
- Code is written in Matlab
- Associated publication:
X. Chen et al., 'High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment', IEEE Transactions on Medical Imaging, 2017. <div>- Approx 300 MB in total </div><div>- File formats:
- .m : Matlab source files
- .mat: Matlab binary file
- .c : C source file
- .mexa64 : Matlab binary MEX file</div>
Funding
EPSRC
PET-MR Motion Correction Based Purely on Routine Clinical Scans
Engineering and Physical Sciences Research Council
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