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

fYear

2013

fDate

Oct. 27 2013-Nov. 2 2013

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE

Conference_Location

Seoul

Print_ISBN

978-1-4799-0533-1

Type

conf

DOI

10.1109/NSSMIC.2013.6829237

Filename

6829237