Dissection artery segmentation method and device

An arterial and dissection technology, applied in the field of medical image processing, can solve the problems of not being able to identify true and false lumens separately, large data size, segmentation accuracy and 3D reconstruction efficiency need to be improved urgently

Active Publication Date: 2020-02-14
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Claims
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Problems solved by technology

The existing traditional segmentation methods are less robust to the segmentation of sandwich models, and cannot identify true and false lumens alone. Moreover, due to the large size of CTA data, segmentation, segmentation accuracy, and 3D reconstruction efficiency need to be improved urgently.

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  • Dissection artery segmentation method and device
  • Dissection artery segmentation method and device
  • Dissection artery segmentation method and device

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Embodiment Construction

[0065] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, every other embodiment obtained by those skilled in the art withou...

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Abstract

The invention provides a dissection artery segmentation method and device. The dissection artery segmentation method comprises the steps of obtaining an original CTA image of a to-be-segmented aorta;preprocessing the original CTA image to obtain a second target CTA image; segmenting the second target CTA image by using an artery segmentation model and a cavity segmentation model in the trained segmentation model to obtain a first structure model marked with an interlayer aorta and a branch artery and a second structure model marked with a true cavity and a false cavity on the interlayer aorta; and based on the first structure model and the second structure model, carrying out true cavity and false cavity misclassification correction on the second structure model. According to the dissection artery segmentation method, the original CTA image is subjected to standardization processing, and the standardized CTA image is segmented by using the artery segmentation model and the cavity segmentation model, so that the image data needing to be processed is greatly reduced, and the interlayer artery segmentation efficiency is effectively improved, and the segmentation precision is improved.

Description

technical field [0001] The present application relates to the technical field of medical image processing, in particular to a method and device for segmenting a dissected artery. Background technique [0002] Aortic dissection (aortic dissection) is a very dangerous aortic disease, mainly manifested as rupture of the aortic intima, blood enters the aortic media through the breach and peels off the aortic intima and adventitia upward or downward , two cavities, true lumen and false lumen, are forcibly formed under the impact of blood, which is an extremely dangerous disease that requires timely diagnosis and treatment. Computed tomography angiography (Computed Tomography angiography, CTA, CT angiography) is the most commonly used method for clinical diagnosis and observation of aortic dissection. Doctors usually analyze the disease based on CT scanning tomography. This method is not conducive to doctors' acquisition of Accurate 3D morphological characteristics of the dissect...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/11G06T7/194G06N3/04G06N3/08
CPCG06T7/11G06T7/194G06N3/08G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30101G06N3/045
Inventor 陈端端张栩阳李振锋梅玉倩梁世超石悦
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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