Common CT computer imaging omics stone component analysis system and method

Abstract

The invention relates to the technical field of medical images, in particular to a common CT computer imaging omics stone component analysis system and method, and the system comprises a central processing system, a data collection unit, a data analysis module, printing equipment and a mobile phone terminal. The input end of the central processing system is unidirectionally and electrically connected with a system firewall, and the data collection unit is connected with the system firewall through a wireless network. Calculus components are analyzed through CT computer imaging omics and compared with data in a database, the defects of an existing calculus analysis method are overcome, and the calculus analysis method has the advantages that calculus can be detected and analyzed more accurately and effectively, data are prevented from being lost in the transmission process, and then detection errors can be reduced. The problem that at present, infrared spectrum detection analysis is mainly adopted for calculus component analysis, the infrared light absorption band characteristic of a calculus sample is not high enough, and certain errors exist in detection of some calculus components is solved.

Description

technical field [0001] The invention relates to the technical field of medical imaging, in particular to a common CT computer radiomics calculus component analysis system and method. Background technique [0002] CT is computerized tomography, which uses precisely collimated X-ray beams, γ-rays, ultrasonic waves, etc., together with highly sensitive detectors, to conduct cross-sectional scans one by one around a certain part of the human body. It has a fast scanning time, The image is clear and so on. Radiomics refers to the high-throughput extraction and analysis of a large number of high-dimensional quantitative image features from MRI, PET, and CT images. Through the feature extraction and analysis of medical images, the diagnosis and treatment of patients' prognosis and prognosis are provided. [0003] Urinary calculus, biliary calculus, pancreatic calculus, salivary gland calculus, and dental calculus are collectively referred to as calculus disease. Calculus disease ...

AI Technical Summary

Problems solved by technology

[0004] At present, the analysis of stone composition mainly adopts infrared spectrum detection and analysis. The infrared absorption bands of stone samples are not characteristic enough, which leads to certain errors in the detection of some stone composition, and the preparation of slices is required before stone detection, which increases the risk of stone formation. The labor cost of component analysis, for this reason, we propose a method to analyze the stone composition through CT computer radiomics, and compare it with the data in the database, which can detect and analyze the stone more accurately and effectively, and prevent the data from being transmitted. The stone composition analysis system and method that can reduce the detection error can solve this problem if the process is lost

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