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An image processing method, device, and display system based on CT transverse images

An image processing and image technology, applied in image data processing, 2D image generation, and equipment for radiological diagnosis, etc., can solve problems such as difficult observation, low diagnostic efficiency, and heavy mechanical repetitive workload, so as to reduce misdiagnosis efficiency, reduce labor intensity, and avoid switching back and forth

Active Publication Date: 2021-07-09
北京优视魔方科技有限公司
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Problems solved by technology

In view of the large number of ribs, the fact that they are not running on the same plane, and the fractures are small and difficult to observe, the diagnostician often needs to observe repeatedly to prevent missed diagnosis and misdiagnosis, resulting in low diagnostic efficiency and heavy mechanical repetitive workload.

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  • An image processing method, device, and display system based on CT transverse images
  • An image processing method, device, and display system based on CT transverse images
  • An image processing method, device, and display system based on CT transverse images

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Embodiment Construction

[0062] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0063]The present invention starts from the perspective of image diagnosis and software implementation. The principle of implementation is to firstly realize the interface of the automatic rib extraction algorithm, tile and display the ribs, and include a single rib CPR (CPR: surface reconstruction) guide line in the tile display diagram. And the fracture marking point, according to the fracture marking point, it can switch to the V...

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Abstract

The invention discloses an image processing method based on CT cross-sectional images, the method comprising: acquiring several CT cross-sectional images; generating a multi-plane reconstruction image based on the CT cross-section images; extracting ribs from the multi-plane reconstruction images according to rib outlines centerline; forming a rib casing based on the rib centerline; straightening the rib casing, and calculating the pixels in the casing; and displaying the rib image planarly according to the calculated pixels in the casing. The invention realizes fast and effective diagnosis of rib fractures, reduces the repeated work intensity of the diagnosing doctor, reduces the diagnosis time, improves the diagnosis accuracy, and has strong practicability and necessity in actual work.

Description

technical field [0001] The present invention relates to the field of medical image display, in particular to an image processing method and device and a display system based on CT transverse images. Background technique [0002] With the development of society, more and more patients with thoracic trauma, CT is the most important and most effective examination method for diagnosing rib fractures. At present, the traditional CT diagnosis mode of rib fractures is mainly based on cross-sectional images, supplemented by three-dimensional images for positioning. Such as figure 1 As shown, the current diagnosis process using CT images is as follows: a. Browse through the cross-sectional images layer by layer and completely, find fractures and suspicious fractures and record them; b. After completely browsing the cross-sectional images, go to the VR image of the ribs, remove the bed board and scapula , locate the above-mentioned fractures and suspicious fractures on the VR image a...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00A61B6/00
CPCA61B6/5223G06T11/003
Inventor 胡哲张彦
Owner 北京优视魔方科技有限公司
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