PET image reconstruction method and apparatus

Abstract

Disclosed in the invention is a positron emission computed tomography (PET) image reconstruction method. The method comprises the following steps that: according to list-mode data for PET reconstruction, space encoding data corresponding to coincidence event data in the list-mode data are determined, wherein the space encoding data consists of a first encoding unit, a second encoding unit, a third encoding unit, a fourth encoding unit, and a fifth encoding unit; all space encoding data are sorted according to a preset spatial order; and on the basis of the sorting result, all space encoding data are successively processed, thereby completing PET image reconstruction by an iteration reconstruction algorithm. In addition, the invention also discloses a PET image reconstruction apparatus.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a PET image reconstruction method and device. Background technique [0002] At present, Positron Emission Computed Tomography (PET) technology has been widely used in important biomedical research fields such as early detection of tumors and drug screening, and has obvious advantages compared with traditional medical imaging modalities. PET technology injects a targeted radioactive tracer into the human body and detects the annihilation photon signal in vitro. PET can reconstruct the spatial distribution of the tracer, thereby indirectly obtaining the physiological and metabolic information of the human body. However, based on different data forms and reconstruction methods, PET image reconstruction results often show obvious differences. Usually, the data storage format used for PET reconstruction is divided into sinogram data with projection data as the unit an...

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Problems solved by technology

[0006] The fast reconstruction methods based on algorithm optimization introduced above can accelerate image

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