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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