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Abstract #3708

Multi-contrast, parametric and artifact-free images reconstructed from gradient-echo and spin-echo (GRASE) imaging data using projection onto convex sets based multiplexed sensitivity encoding (POCSMUSE)

Mei-Lan Chu 1,2 , Hing-Chiu Chang 1 , Koichi Oshio 3 , and Nan-kuei Chen 1

1 Brain Imaging and Analysis Center, Duke University Medical Center, Durham, North Carolina, United States, 2 Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan, 3 Department of Diagnostic Radiology, Keio University School of Medicine, Japan

A novel procedure is developed to produce high-quality single-shot and multi-shot GRASE images without aliasing artifacts, in which coil sensitivity profiles and inter-CPMG-echo signal variation models are used as the constraints in reconstruction. With the developed POCSMUSE method, multi-contrast images can be reconstructed from a single set of GRASE data, reliably enabling parametric T2 mapping.

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