Multi-mode image processing method and multi-mode image processing platform

Abstract

The invention relates to a multi-mode image processing method and a multi-mode image processing platform. The method comprises the steps of reading SPECT data, PET data and CT data; preprocessing theread data; displaying the data in a three-dimensional mode; segmenting a selected region in an image by adopting a segmentation algorithm; correcting the image according to a long axis and a short axis of a heart in the image; taking a CT image as a template by adopting a mutual information method, registering PET and SPECT images to the CT image, and obtaining registered SPECT and PET images; fusing registered SPECT and PET images in a wavelet fusion mode; displaying a bullet graph of SPECT, PET and fused images; carrying out the operations of measurement, polygonal drawing, zooming, rotating and / or marking on the obtained bullet graph, performing quantitative analysis on an obtained result, and providing quantitative diagnosis indexes for doctors based on the difference among the bullet graphs of different modal data. According to the invention, various image data can be read. Through the operations of matching, segmenting, fusing, three-dimensional visualization and the like, image data are analyzed and processed. Therefore, the usage is facilitated, and the efficiency is remarkably improved.

Description

Technical field [0001] The invention relates to a multi-modal image processing method and platform, in particular to the analysis and processing of multi-modal nuclear medical image data. Background technique [0002] Imaging technology and image processing are widely used in various technical fields such as industrial manufacturing, material processing, fault diagnosis, and auxiliary medical care. For example, in the manufacturing field, it is often necessary to detect the internal structure of equipment or materials; when diagnosing diseases related to myocardial activity such as ischemic heart disease, multimodal nuclear medical imaging data such as PET / SPECT are also commonly used. Analyze and process images to assist manufacturing or diagnosis. PET (Positron EmissionComputed Tomography) and SPECT (Single-Photon EmissionComputed Tomography) are two types of CT technologies in nuclear medicine, because they are both for the emission from the patient Γ-ray imaging, so it is c...

AI Technical Summary

Problems solved by technology

[0003] Generally speaking, the existing image processing systems or platforms can only collect or process images from a single source or format. If it is necessary to conduct comprehensive analysis and judgment based on images from multiple sources and formats or multi-modal image data, it usually takes multiple Different image processing systems or platforms are processed separately, and then the staff conducts comprehensive analysis, processing or judgment on various images or processing results.

This method has low work efficiency and is inconvenient to use, and it has high requirements for the experience and ability of the staff themselves when comprehensively analyzing, processing or judging, which will bring more uncertainty to the final processing results or adverse effects

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