Clinical history database diagnostic system based on four-modal medical image

Abstract

The invention provides a clinical history database diagnostic system based on a four-modal medical image. The clinical history database diagnostic system based on the four-modal medical image comprises a CT image device, a PET image device, an SPET image device, an FMI image device, an image gathering module, a network communication module and a terminal processor, wherein the input end of the image gathering module is respectively connected with the CT image device, the PEDT image device, the SPET image device and the FMI image device, the output end of the image gathering module is connected with the network communication module, the image gathering module gathers four-modal medical images, encapsulates four paths of image signals into a video stream and sends the video stream to the network communication module, the network communication module is respectively connected with the image gathering module and the terminal processor so as to send the received video stream to the terminal processor, and the terminal processor diagnoses illnesses and establishes a clinical history database through detection of the similarity between the medical images and a feature database. The clinical history diagnostic system based on the four-modal medical image can establish a perfect clinical history database system and has a broad application prospect.

Description

technical field [0001] The invention relates to the technical field of medical image diagnosis, in particular to a case database diagnosis system based on four-modal medical images. Background technique [0002] CT and PET images are an important basis for diagnosing patients' diseases. Since CT and PET examinations usually examine the whole body of a patient, the amount of image data obtained is large. At present, for the completed CT and PET images, the doctor directly observes the disease with the naked eye. When the doctor makes the diagnosis, due to the large amount of image data and the limited ability of the human eye to recognize the image, it is inevitable that there will be There are various situations such as misdiagnosis and missed diagnosis, which have left great hidden dangers to the accuracy of patient treatment. In addition, the existing pathological feature database only includes disease conditions and pathological image features manually marked by medical ...

AI Technical Summary

Problems solved by technology

At present, for the completed CT and PET images, the doctor directly observes the disease with the naked eye. When the doctor makes the diagnosis, due to the large amount of image data and the limited ability of the human eye to recognize the image, it is inevitable that there will be Various situations such as misdiagnosis and missed diagnosis have left great hidden dangers to the accuracy of patient treatment.

In addition, the existing pathological feature database only includes disease conditions and pathological image features manually marked by medical experts on cases with obvious relevant characteristics to assist doctors in diagnosis. The case database has a single form, incomplete information, and cannot be updated in time. The cycle is long, resulting in low efficiency of case database auxiliary diagnosis

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