PET image reconstruction method and system
An image reconstruction and imaging system technology, applied in the field of medical imaging, can solve the problems of insufficient sample data, affecting PET image quality and quantitative analysis, etc., to enhance local smoothness, preserve tumor edge contrast, and improve PET image quality. and tumor detection effect
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Embodiment 1
[0061] Such as figure 1 as shown, figure 1 It shows a flowchart of a method for PET image reconstruction provided by an embodiment of the present invention. The execution subject of the method of this embodiment may be a multi-modal PET imaging system connected by communication with PET equipment. The method of this embodiment may include the following Methods:
[0062] Step 101, the multimodal PET imaging system acquires anatomical images or PET functional images of current detection data;
[0063] In this embodiment, the multimodal PET imaging system may be an imaging system integrated with other modality imaging functions, and then may generate anatomical images or PET functional images according to the acquired current detection data.
[0064] For example, the anatomical image in this embodiment can be an MRI image or a CT image; in a specific application, the MRI or CT imaging device in the multimodal PET imaging system acquires the detection data of the current examine...
Embodiment 2
[0080] The present invention proposes a reconstruction algorithm using anatomical prior or functional prior in a multi-modal PET imaging system. While enhancing the local smoothness of the PET image, the contrast of the tumor edge is preserved as much as possible, and the PET image is simultaneously improved. quality and tumor detectability purposes. The specific steps of this method are as follows:
[0081] Step S1, the PET acquisition process can be modeled as the following formula:
[0082]
[0083] In the formula, y=[y 1 ,y 2 ,...,y N ] T Indicates the detected data, and N indicates the dimension of the detected data. For listmode reconstruction, N is the number of detected cases; for sinogram-based reconstruction, N is the size of the sinogram; if the acquisition case includes time resolution TOF (Time of Flight) information, N should also include the dimension of time resolution discretization.
[0084] x=[x 1 ,x 2 ,...,x M ] T Represents the unknown PET rad...
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