Retrieval system based on multi-lesion region characteristic and oriented to medical image database

A technology of medical imaging and regional features, which is applied in the field of medical information technology and information retrieval, can solve problems such as inability to retrieve medical images, and achieve the effects of alleviating semantic gap, increasing retrieval time, and good performance

Inactive Publication Date: 2011-08-17
SHANGHAI INST OF TECHNICAL PHYSICS - CHINESE ACAD OF SCI
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Problems solved by technology

[0004] The purpose of the present invention is to provide a multi-lesion-based feature-based retrieval system (Regional Content based Image Retrieval, RCBIR) for medical image databases, which solves the current problem of being unable to use "sample images" to quickly and effectively retrieve related medical images

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  • Retrieval system based on multi-lesion region characteristic and oriented to medical image database
  • Retrieval system based on multi-lesion region characteristic and oriented to medical image database
  • Retrieval system based on multi-lesion region characteristic and oriented to medical image database

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Embodiment Construction

[0015] A preferred embodiment of the present invention is given below in conjunction with the accompanying drawings, and the present invention is further described in detail, making it easier to understand the structural and functional features of the present invention.

[0016] The retrieval system based on the features of multi-focus regions for medical image databases of the present invention adopts a server-client architecture, and its structure diagram is as follows figure 1 As shown, it is mainly composed of RCBIR client, RCBIR server, PACS and RIS server. in:

[0017] The first part of the client

[0018] The RCBIR client of the present embodiment is usually integrated in the PACS display workstation, and mainly includes an image query module (101), a diagnostic report query module (102), an image display and user interaction module (103), and an image region feature extraction module (104) , an image annotation module (105), and a query interface module (106). Where...

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Abstract

The invention discloses a retrieval system based on a multi-lesion region characteristic and oriented to a medical image database. In the invention, the image is omni-directionally described by advanced image description symbols, including image region contents, pathological representation and anatomical position information, thus realizing the quick positioning and matching method on a plurality of lesion regions; by adopting the method of combining the semantic navigation and high-dimension data index, the quick retrieval of large-scale image characteristic value can be realized, the retrieval efficiency is improved, and the 'semantic gap' phenomenon existing in the traditional image retrieval technology is relieved to certain degree. The retrieval system sufficiently utilizes the historical image and diagnosis data in a PACS (picture archiving and communication system) database, can be used as an effective measure for computer aided diagnosis, and can be widely applied to the fields such as medical clinics, researches and teaching.

Description

technical field [0001] The invention belongs to the field of medical information technology and information retrieval technology, and specifically relates to a retrieval system based on multi-focus area features for medical image databases. Background technique [0002] The key core system of medical imaging informatics and its engineering application is medical image archiving and communication system (PACS). PACS integrates the collection, communication, processing, storage and display of medical images, and is a key information system and technical support platform for hospitals to realize digitalization. With the development of medical imaging technology and the popularization of medical information systems, the radiology department of a modern hospital will generate a large number of radiological images every day, which are used by doctors for clinical diagnosis, disease tracking, operation planning, prognosis research, and differential diagnosis. important objective b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 张建国朱燕杰
Owner SHANGHAI INST OF TECHNICAL PHYSICS - CHINESE ACAD OF SCI
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