An intelligent diagnosis system for diffuse thyroid disease based on ultrasound images

Abstract

The invention relates to an intelligent diagnosis system for thyroid diffuse diseases based on ultrasonic images. The system includes the following modules: a selection and preprocessing module of ROI, the size of the ROI is set to 64*64, and the ROI should be avoided as much as possible when selecting the ROI. For the edge and blood vessels of the thyroid parenchyma, select a relatively uniform part of the thyroid parenchyma, and map the gray value of the ROI image to between 0-255; the structure of the wavelet multi-subgraph co-occurrence matrix and the texture feature extraction module. According to the speckle noise characteristics of ultrasound images and the diagnostic points of diffuse thyroid diseases, a number of texture features that can be used for auxiliary diagnosis are proposed. These texture features have obvious discrimination for Graves disease and Hashimoto's disease. The influence of speckle noise is filtered out during the feature process, and the accuracy of the diagnosis results can be significantly improved.

Description

(1) Technical field [0001] The invention belongs to the field of computer-aided diagnosis, in particular to research on the classification of diffuse thyroid diseases by ultrasonic images, and is an intelligent diagnosis system for diffuse thyroid diseases based on ultrasonic images. (2) Background technology [0002] Diffuse thyroid disease is a common thyroid disease that affects the normal metabolism of the human body. Common diffuse thyroid diseases mainly include Hashimoto's disease and Graves disease. The gold standard for medical diagnosis of diffuse thyroid disease is biopsy, but the invasiveness of biopsy can cause great pain to patients, so its clinical use is limited. At present, doctors generally use blood tests for clinical diagnosis, and diagnose diseases that patients may suffer from through serum blood indicators. However, in actual clinical diagnosis, the serum blood indexes of different diffuse diseases may be very similar, which is easy to cause confusion...

AI Technical Summary

Problems solved by technology

[0003] At present, in the field of computer-aided diagnosis, it is common to use methods such as deep learning and radiomics to study thyroid nodular diseases based on ultrasound images, but there are few radiomics research data on diffuse thyroid diseases, and only some researchers use imaging Omics method, by extracting the texture features of the image, the distinction between Hashimoto's disease and normal thyroid, or the distinction between hyperthyroidism and hypothyroidism

However, the classification of ultrasound images of a variety of common diffuse thyroid diseases, such as Graves' disease, Hashimoto's disease, and normal thyroid tissue, is still blank, and no research has specifically proposed corresponding texture features for the characteristics of thyroid diseases to improve diffuse Disease diagnostic accuracy

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