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.