Abstract #1692
MR Fingerprint assessment of capillary with quadratic coefficient and falling down parameter
Feng Qi 1,2 , Limiao Jiang 1,2 , Quek Swee Tian 1 , and Ng Thian C. 1,2
1
Diagnostic Radiology, National University of
Singapore, Singapore, Singapore, Singapore,
2
Clinical
Imaging Research Cente, A*STAR-NUS, Singapore,
Singapore, Singapore
MR Fingerprint approach can combine multiple de/rephsing
mechanisms to resolve microvascular parameters in high
spatial resolution. We propose two new biomarkers,
quadratic coefficient q and falling down parameter f, to
enhance r-v assessment accuracy by building MRF
dictionary in q-f feature space (qf-MRF). Feature
parameters q-f are acquired by SE-EPI before echo time,
which preserve more microstructural information than
traditional acquisition of relaxation rate at echo time.
qf-MRF requires only 4 EPI readout, costing less than
tenth of the scanning time of tradition MRF, while the
estimation accuracy is improved by 59% as compared with
traditional identical weighting MRF (iw-MRF)
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