Affiliations: [a] School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi, China | [b] Department of Radiation Oncology, Rush University Medical Center, Chicago, IL, USA | [c] Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA
Abstract: Electron paramagnetic resonance (EPR) Imaging (EPRI) is a robust method for
measuring in vivo oxygen concentration (pO2). For 3D pulse EPRI, a commonly
used reconstruction algorithm is the filtered backprojection (FBP)
algorithm, in which the backprojection process is computationally intensive
and may be time consuming when implemented on a CPU. A multistage
implementation of the backprojection can be used for acceleration, however
it is not flexible (requires equal linear angle projection distribution) and
may still be time consuming. In this work, single-stage backprojection is
implemented on a GPU (Graphics Processing Units) having 1152 cores to
accelerate the process. The GPU implementation results in acceleration by
over a factor of 200 overall and by over a factor of 3500 if only the
computing time is considered. Some important experiences regarding the
implementation of GPU-accelerated backprojection for EPRI are summarized.
The resulting accelerated image reconstruction is useful for real-time image
reconstruction monitoring and other time sensitive applications.
