title: Real-Time Image Reconstruction for Pulse EPR Oxygen Imaging Using a GPU and Lookup Table Parameter Fitting.
abstract: The importance of tissue oxygenation has led to a great interest in methods for imaging pO2in vivo. Electron paramagnetic resonance imaging (EPRI) provides noninvasive, near absolute 1 mm-resolved 3D images of pO2in the tissues and tumors of living animals. Current EPRI image reconstruction methods tend to be time consuming and preclude real-time visualization of information. Methods are presented to significantly accelerate the reconstruction process in order to enable real-time reconstruction of EPRI pO2images. These methods are image reconstruction using graphics processing unit (GPU)-based 3D filtered back-projection and lookup table parameter fitting. The combination of these methods leads to acceleration factors of over 650 compared to current methods and allows for real-time reconstruction of EPRI images of pO2in vivo.
authors.affiliation: Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL 60637, USA.
authors.forename: Gage
authors.initials: G
authors.lastname: Redler
authors.affiliation: School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi 030006, China.
authors.forename: Zhiwei
authors.initials: Z
authors.lastname: Qiao
authors.affiliation: Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL 60637, USA.
authors.forename: Boris
authors.initials: B
authors.lastname: Epel
authors.affiliation: Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL 60637, USA.
authors.forename: Howard J
authors.initials: HJ
authors.lastname: Halpern