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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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