PET image reconstruction with system matrix containing point spread function derived from single photon incidence response
Fan Xin, Wang Hai-Peng, Yun Ming-Kai, Sun Xiao-Li, Cao Xue-Xiang, Liu, Shuang-Quan, Chai Pei, Li Dao-Wu Liu Bao-Dong, Wang Lu, Wei Long

TL;DR
This paper introduces a PET image reconstruction method using a system matrix that incorporates a point spread function derived from single photon incidence responses, improving image resolution and contrast.
Contribution
The study develops a novel system matrix for PET reconstruction based on Monte Carlo simulated single photon responses, enhancing image quality over traditional models.
Findings
Improved radial resolution in reconstructed images.
Enhanced contrast and noise properties.
Method applicable to various PET scanners with similar detector configurations.
Abstract
In positron emission tomography (PET) imaging, statistical iterative reconstruction (IR) techniques appear particularly promising since they can provide accurate system model. The system model matrix which describes the relationship between image space and projection space is important to the image quality. It contains some factors such as geometrical component and blurring component. The blurring component is usually described by point spread function (PSF). A PSF matrix derived from the single photon incidence response function is studied. And then an IR method based on the system matrix containing the PSF is developed. More specifically, the gamma photon incidence on a crystal array is simulated by Monte Carlo (MC) simulation, and then the single photon incidence response functions are calculated. Subsequently, the single photon incidence response functions is used to compute the…
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Radiation Detection and Scintillator Technologies · Advanced X-ray and CT Imaging
