Accelerating Image Reconstruction in Dual-Head PET System by GPU and Symmetry Properties
Journal
PLoS ONE
Journal Volume
7
Journal Issue
12
Date Issued
2012
Author(s)
Abstract
Positron emission tomography (PET) is an important imaging modality in both clinical usage and research studies. We have developed a compact high-sensitivity PET system that consisted of two large-area panel PET detector heads, which produce more than 224 million lines of response and thus request dramatic computational demands. In this work, we employed a state-of-the-art graphics processing unit (GPU), NVIDIA Tesla C2070, to yield an efficient reconstruction process. Our approaches ingeniously integrate the distinguished features of the symmetry properties of the imaging system and GPU architectures, including block/warp/thread assignments and effective memory usage, to accelerate the computations for ordered subset expectation maximization (OSEM) image reconstruction. The OSEM reconstruction algorithms were implemented employing both CPU-based and GPU-based codes, and their computational performance was quantitatively analyzed and compared. The results showed that the GPU-accelerated scheme can drastically reduce the reconstruction time and thus can largely expand the applicability of the dual-head PET system. © 2012 Chou et al.
Other Subjects
algorithm; article; computer system; graphics processing unit; image processing; image reconstruction; imaging system; intermethod comparison; mathematical computing; positron emission tomography; quantitative analysis; Algorithms; Animals; Computer Graphics; Humans; Image Processing, Computer-Assisted; Positron-Emission Tomography; Software
Type
journal article