Title :
Polygonal pixel grid based PET image reconstruction algorithm: Development, application and performance comparison
Author :
Yu Yunhan ; Yan Xia ; Wei Wang ; Yaqiang Liu ; Kui Ying ; Shi Wang ; Tianyu Ma
Author_Institution :
Key Lab. of Particle & Radiat. Imaging, Tsinghua Univ., Beijing, China
fDate :
Oct. 27 2013-Nov. 2 2013
Abstract :
System matrix works as an association between image and detected data. Accurate expression of the system matrix is a key component during PET image reconstruction. However, with numerous Line-of-Responses (LORs) detected in modern 3D PET scanner, the huge storage size of a full system matrix increases computational burden. To solve this essential issue, we designed a rotationally symmetric polygonal pixel grid with fan-shaped segments in the image domain to efficiently compress the matrix with geometrical symmetries. This idea mainly came from the polygonal geometry of detector rings in most PET system.
Keywords :
biomedical equipment; geometry; image reconstruction; medical image processing; positron emission tomography; symmetry; 3D PET scanner; LOR detection; accurate system matrix expression; computational burden; fan-shaped polygonal pixel grid segments; full system matrix storage size; geometric symmetry; image reconstruction algorithm application; image reconstruction algorithm development; image reconstruction algorithm performance comparison; line-of-response; matrix compression; polygonal detector ring geometry; polygonal pixel grid based PET image reconstruction algorithm; polygonal pixel grid design; rotational polygonal pixel grid symmetry; Image coding; Image reconstruction; Image segmentation; Mice; Positron emission tomography; Symmetric matrices; Three-dimensional displays;
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-0533-1
DOI :
10.1109/NSSMIC.2013.6829237
