Abstract #4367
Very Rapid 4D Compressed Sensing MR for Lung Imaging during Forced Expiration
Benjamin Paul Berman 1 , Abhishek Pandey 2 , Zhitao Li 2 , Theodore Trouard 3,4 , Isabel Oliva 4 , Diego R. Martin 4 , Maria Altbach 4 , and Ali Bilgin 2,3
1
Applied Mathematics, University of Arizona,
Tucson, Arizona, United States,
2
Electrical
and Computer Engineering, University of Arizona, Tucson,
Arizona, United States,
3
Biomedical
Engineering, University of Arizona, Tucson, Arizona,
United States,
4
Medical
Imaging, University of Arizona, Tucson, Arizona, United
States
Spirometry measurements during expiration are standard
for diagnosis of many lung diseases. However, these
measurements contain no spatial information. Highly
accelerated 4D MRI with compressed sensing can be used
to image the lungs during forced respiratory maneuvers.
Golden angle stack-of-stars view ordering is utilized to
distribute the data into undersampled temporal bins.
Total variation between neighboring frames, as well as
reference frames acquired during the same scan, provide
enough sparsity to reconstruct images with as few as 1
readout per slice per time, ie. 100x acceleration, ie.
46ms resolution.
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