Similarity calculation system and method based on medical image features

A similarity calculation and medical image technology, applied in the field of medical image diagnosis, can solve the problems of high labor intensity, misdiagnosis, missed diagnosis, large amount of image data, etc., and achieve the effect of reducing workload and improving accuracy and efficiency

Inactive Publication Date: 2013-09-25
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0002] Using medical imaging to diagnose patients is a widely used diagnostic method. However, at present, doctors directly observe the disease through naked eyes. When manual diagnosis is performed, due to the large amount of image data and human eyes The image recognition ability is limited, misdiagnosis and missed diagnosis wi

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  • Similarity calculation system and method based on medical image features
  • Similarity calculation system and method based on medical image features

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Embodiment Construction

[0023] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0024] see figure 1 , a similarity calculation system based on medical image features, comprising: a patient medical image database 101, a normal medical image database 102, a disease feature database 103, an image feature extraction module 104, a similarity calculation module 105 and a display module 106. in,

[0025] Patient medical image database 101: used to store medical images of patients to be diagnosed.

[0026] Normal medical image database 102: used to store medical images of normal pe...

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Abstract

The invention provides a similarity calculation system and method based on medical image features. The system comprises a patient medical image library, a normal medical image library, a disease feature library, an image feature extraction module and a similarity calculation module. The patient medical image library is used for storing medical images of patients to be diagnosed. The normal medical image library is used for storing medical images of normal persons. The disease feature library is used for storing disease image features and relative diseases symptoms and disease history information inputted by a doctor. The image feature extraction module is used for receiving and extracting the medical images of the patients and the medical images of the normal persons to compare and find lesions areas, extracting image features of the lesions areas, and sending to the similarity calculation module. The similarity calculation module is used for comparing the received image features of the lesions areas with the image features in the disease feature library, and calculating similarity, obtaining a similarity calculating result, and sending to a display module to display. By the aid of the similarity calculation system, accuracy and efficiency of diagnosis are improved effectively, and working load of doctors is reduced greatly.

Description

technical field [0001] The present invention relates to the technical field of medical image diagnosis, in particular to a similarity calculation system and method based on medical image features. Background technique [0002] Using medical imaging to diagnose patients is a widely used diagnostic method. However, at present, doctors directly observe the disease through naked eyes. When manual diagnosis is performed, due to the large amount of image data and human eyes The image recognition ability is limited, misdiagnosis and missed diagnosis will inevitably occur, and various subjective mistakes will also appear from time to time, leaving a great hidden danger to the accuracy of patient treatment. Moreover, ct and pet examinations in hospitals often produce a large number of pictures, which makes the tasks of a limited number of medical imaging staff heavy and labor-intensive. Contents of the invention [0003] In view of the defects in the prior art, the object of the p...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06T7/00
Inventor 胡洁黄海清戚进谷朝臣李钦彭勋何飞
Owner SHANGHAI JIAO TONG UNIV
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