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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