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Abstract #0812

Accelerated Quantitative Single Point EPR Imaging Using Model-based Compressed Sensing

Hyungseok Jang 1 , Sankaran Subramanian 2 , Nallathamby Devasahayam 2 , Shingo Matsumoto 2 , Keita Saito 2 , Jiachen Zhuo 3 , Murali C. Krishna 2 , and Alan B. McMillan 1

1 Radiology, University of Wisconsin, Madison, WI, United States, 2 Radiation Biology Branch, Center for Cancer Research, NCI, National Institutes of Health, Bethesda, MD, United States, 3 Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States

Electron Paramagnetic Resonance Imaging (EPRI) has emerged as a promising imaging modality that is capable of imaging in vivo tissue oxygenation. Recently, single acquisition EPRI using gridding and k-space extrapolation (KSE) has been proposed to improve temporal resolution of single-point (SP) imaging acquisitions by 3x. However, SP-EPRI is still limited in temporal and spatial resolution. In this work, we have developed new methods for accelerated SP imaging by combining a new, bilateral KSE technique with model-based compressed sensing.

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