Multi-modal medical image reconstruction method

Abstract

The invention provides a multi-modal medical image reconstruction method, which comprises the following steps: acquiring a first image of a scanned object, and identifying a plurality of organs of the scanned object based on the first image; segmenting the first image into a plurality of parts according to a plurality of organs, and endowing each part with a different voxel value; selecting each part in the plurality of parts, and respectively calculating the area center of each part; respectively moving the center of each area to a first central position, a front position and a rear position, and respectively acquiring functional scanning data of each part of the first image at the first central position, the front position and the rear position; according to the voxel values, different reconstruction parameters are given to the function scanning data obtained at the different positions, and a function image of the scanning object is reconstructed based on the reconstruction parameters. According to the reconstruction method provided by the invention, the reconstruction process can be accelerated in the process of reconstructing a plurality of functional images at the same time, and the use efficiency of the multi-modal image system is improved.

Description

technical field [0001] The invention relates to the technical field of medical images, in particular to a reconstruction method of a multimodal medical image. Background technique [0002] Currently, various modalities of medical imaging equipment are widely used in clinical diagnosis and medical research. The imaging technologies involved in these various modalities of medical imaging equipment mainly include Positron Emission Computed Tomography (PET). ), computed tomography (Computed Tomography, CT), magnetic resonance imaging (Magnetic Resonance, MR) and ultrasound imaging (Ultrasonography, US) and so on. Among them, CT images, MR images and US images can provide morphological and structural information of the imaging site; PET images can provide functional information of the imaging site. Unfortunately, any imaging modality has its own drawbacks. For example, CT scans have good imaging results for tissues with large differences in density, and have high spatial and te...

AI Technical Summary

Problems solved by technology

[0003] However, when reconstructing functional images, if the scan data is reconstructed according to a unified voxel standard, it usually takes more reconstruction time and the efficiency is low

Especially when dynamic images need to be obtained, the reconstruction time will exceed the clinically acceptable limit, so it is necessary to propose a method to accelerate dynamic functional image reconstruction

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