PET-CT (Positron emission tomography-computed tomography) dynamic medical image intelligent quantitative analysis system and analysis method

Abstract

The invention provides a PET-CT dynamic medical image intelligent quantitative analysis system and analysis method. The PET-CT dynamic medical image intelligent quantitative analysis system comprises a medical image information management sub-system connected with a medical service mechanism information system, a user information management sub-system, a medical image quantitative analysis sub-system connected with the user information management sub-system and the medical image information management sub-system separately, an information interaction module to which the medical image information management sub-system and the medical image quantitative analysis sub-system are connected, and a user terminal. The medical image quantitative analysis sub-system has a built-in PET-CT quantitative analysis system; the information interaction module is used for displaying quantitative analysis results. Dynamic model parameters can be optimized through a hybrid intelligent optimization algorithm. An accurate region of interest can be obtained by calculation through a time-radioactivity curve set based on dynamic feature distribution. The system can provide individualized quantitative analysis service through update and study of user experience.

Description

technical field [0001] The invention relates to a medical image service system, in particular to a PET-CT dynamic medical image intelligent quantitative analysis system and analysis method. Background technique [0002] A dynamic image is a voxel-based data set, and it takes a lot of time to perform voxel-level modeling and is greatly affected by noise. By studying the dynamic characteristics of PET dynamic images, quantitative indicators with physiological significance can be obtained. In recent years, in order to improve the precision and accuracy of imaging diagnosis, the international imaging community has proposed quantitative image analysis methods. Quantitative image analysis includes imaging methods such as anatomy, function, and molecular imaging. Through precise image analysis, it can accurately reflect relevant parameters of anatomy and physiology. Quantitative image analysis methods can be used to evaluate treatment response, judge clinical prognosis, etc., the...

AI Technical Summary

Problems solved by technology

[0003] However, the existing quantitative analysis methods of medical images are weak in pertinence, lack of connection to the information systems of different medical service institutions, lack of the function of comparing with patient history information and similar patient diagnosis and treatment information, and are weak in intelligence

At the same time, the workload is large, the time cost is high, and it cannot meet the requirements of medical technicians and clinicians in terms of method optimization, result evaluation and analysis, and historical information management, and it is not suitable for promotion.

Images