1. An Efficient Implementation of PET Image Reconstruction from List-Mode Data
- Author
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Yun Ming kai, Zhao Shub jun, Shan Bao ci, and Zhang Bin
- Subjects
Scanner ,medicine.diagnostic_test ,Computer science ,business.industry ,Experimental data ,Reconstruction algorithm ,General Medicine ,Iterative reconstruction ,list-mode expectation maximization algorithm ,Tomography reconstruction in PET ,Positron emission tomography ,system response matrix ,medicine ,Key (cryptography) ,Computer vision ,Tomography ,Artificial intelligence ,business ,Image resolution ,Engineering(all) - Abstract
Positron Emission Tomography (PET) plays an important role in clinical and many other scientific research fields and has been a hot research at present. Tomography reconstruction algorithm is a key component of PET, most PET use statistical iterative reconstruction algorithms from sinograms currently. However tomography reconstruction from list-mode data possesses many unique advantages, in recent years it has been paid great attention and is in the process of rapid development and improvement. In this paper, using experimental data of small animal PET scanner Eplus 166, exploiting S-LMEM algorithm and orthogonal distance-based ray-tracer, we eventually achieve list-mode tomography reconstruction. The results demonstrate that image resolution recovery achieves the inherent properties of the scanner and on-the-fly ray-tracing methods for real-time system response matrix (SRM) calculation are feasible for dynamic reconstruction. Calculating precision of SRM is a key to resolution recovery.
- Published
- 2012
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