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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