Principle and implementation of list-mode image reconstruction in PET.
- Author:
Bin ZHANG
1
;
Baoci SHAN
;
Mingkai YUN
;
Shujun ZHAO
Author Information
1. Physical Engineering College, Zhengzhou University, Zhengzhou 450001, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Humans;
Image Processing, Computer-Assisted;
Imaging, Three-Dimensional;
methods;
Models, Theoretical;
Positron-Emission Tomography;
methods
- From:
Journal of Biomedical Engineering
2012;29(5):814-819
- CountryChina
- Language:Chinese
-
Abstract:
Positron emission tomography (PET) has become basic support equipment in clinical and many other scientific research fields and has been a hot research field at present. Tomography reconstruction algorithm is a key component of PET, and most PETs use statistical iterative reconstruction algorithms from sinograms data currently. However, tomography reconstruction from list-mode data possesses many unique advantages, and it has caused great attention and is in the process of rapid development and improvementin recently. We eventually achieved list-mode tomography reconstruction in this paper, using experimental data of small animal PET scanner Eplus-166, exploiting S-LMEM algorithm and orthogonal distance-based ray-tracer. The results demonstrated that image resolution and contrast recovery achieved inherent properties of the scanner and on-the-fly ray-tracing methods is feasible for dynamic reconstruction.
