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Abstract #1803

Accelerated EPRI Using Partial Fourier Compressed Sensing Reconstruction With POCS Phase Map Estimation and Spherical Sampling

Chia-Chu Chou1, Taehoon Shin2, JiaChen Zhuo2, Gadisetti Chandramouli3, Murali Cherukuri3, and Rao Gullapalli2

1Elecetrical Engineering, University of Maryland, College Park, Beltsville, MD, United States, 21Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States, 3National Cancer Institute, Bethesda, MD, United States

In Electron Paramagnetic Resonance Imaging (EPRI), each single k-space point is typically acquired per excitation and lengthens the acquisition time. In order to accelerate the imaging process, we raised a new image reconstruction method, Partial Fourier Compressed Sensing (PFCS), to address this problem. With PFCS, the images can be reconstructed from 25% of the k space and hence accelerate the imaging process to less than 1min. We also demonstrated PFCS reconstructed linewidth map were able to monitor the oxygen change in the tumor tissue.

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