Intelligent film reading system for tumor image data

Abstract

The invention discloses an intelligent film reading system for tumor image data. One-key film reading report writing is realized, steps such as image data preprocessing, lesion identification, quantitative parameter measurement, diagnostic scoring and visualization are completed automatically by a computer, the operation procedure and the diagnostic process are simplified, the advantages of a doctor and the computer are executed to the maximum extent, the current image film reading working efficiency is improved significantly, the film reading result is objective and accurate, and the repeatability is high.

Description

technical field [0001] The invention relates to the technical field of computer-aided analysis of medical images, in particular to an intelligent image reading system for tumor image data. Background technique [0002] Medical imaging is an important tool for tumor diagnosis. At present, the acquisition, processing, display and storage of medical images have all been digitized, and a comprehensive transformation from "analog" to "digital" has been completed. However, the generation and information transmission process of the final result (diagnosis report) of imaging examination has not undergone substantial changes during the development of imaging technology for many years, which greatly hinders the development of medical imaging. [0003] Conventional video report forms include free text and structured text. During the development of video in the past hundred years, free text reports have occupied a dominant position. However, with the vigorous development of computer t...

AI Technical Summary

Problems solved by technology

[0006] 1. Most of the existing imaging reports describe the lesions or normal tissue signals in the form of free text descriptions, which lack objective, quantitative, and intuitive descriptions, resulting in low communication efficiency between radiologists and clinicians

[0007] 2. Although the structural report under development can standardize the content of the report, the content of the input information is complicated, which seriously reduces the work efficiency of the doctor who reads the film, and is easy to cause fatigue and further reduces the accuracy of the film reading

[0008] 3. Whether it is a free-text report or a structured report, it is highly subjective and lacks objective and quantitative indicators

Moreover, the current reporting system only uses isolated individual patient data, does not fully exploit the existing information in the database, and the reporting system cannot be iteratively updated. After the clinical diagnosis guideline is updated, it needs to re-read the film, which is very inefficient.

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