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Abstract #2537

An Inexpensive Iterative Reconstruction for Under-Sampled PROPELLER MRI

Jyh-Miin Lin1, 2, Tzu-Chao Chuang2, Hing-Chiu Chang3, 4, Wen-Chau Wu5, Hsiao-Wen Chung, 46

1Department of Radiology, Duke University Medical Center, Durham, NC, United States; 2Department of Electrical Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan; 3Global Applied Science Laboratory, GE Healthcare, Taipei, Taiwan; 4Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan; 5Graduate Institute of Oncology, National Taiwan University, Taipei, Taiwan; 6Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan

Previously researchers had shown the possibility to use iterative reconstruction to process PROPELLER images. In this study, an economic algorithm named image space reconstruction algorithm (ISRA) is implemented for under-sampled PROPELLER MRI. Based on generalized inverse, the algorithm is fast and inexpensive, which is useful for dynamic or volumetric imaging. We performed phantom study with under-sampled PROPELLER images, in which the image qualities were restored by ISRA.