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Arteriovenous malformation segmentation method and system and electronic equipment

A technology for arteriovenous malformations and arteries, applied in the field of medical image processing, can solve problems such as destroying topological structures, and achieve the effect of less manual interaction

Inactive Publication Date: 2019-10-18
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

However, the skeletonization method they use will produce cavities or holes, destroying the original topology, and their AVM extraction method is only good for tight cluster structures, but in fact most AVM lesions are not like this

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  • Arteriovenous malformation segmentation method and system and electronic equipment
  • Arteriovenous malformation segmentation method and system and electronic equipment
  • Arteriovenous malformation segmentation method and system and electronic equipment

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[0068] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0069] In order to be able to extract arteriovenous malformations fully automatically, accurately and effectively, this application proposes a graph theory-based AVM localization and segmentation method. First, the vessel tree is segmented from MRI images, and then weight-based width-first The search algorithm creates a spanning tree from the results of vascular skeletonization, and constructs a topological path from the root of the carotid artery through the supply artery to the AVM lesion and then to the draining vein. Finally, the AVM lesion is automatically detected and extracted accord...

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Abstract

The invention relates to an arteriovenous malformation segmentation method and system and electronic equipment. The arteriovenous malformation segmentation method comprises the following steps: a, segmenting a blood vessel tree from a nuclear magnetic resonance angiography image to generate a blood vessel skeleton line; b, creating a spanning tree of a vascular skeleton line by using a weight-based breadth-first search algorithm, and constructing a topological path from a carotid artery root point to an AVM focus through a blood supply artery and then to a drainage vein; and c, positioning andsegmenting the AVM focus according to the spanning tree, and segmenting the blood supply artery and the drainage vein according to the topological paths of the blood supply artery and the drainage vein connected with the AVM focus. Compared with the prior art, the arteriovenous malformation segmentation method has the advantages that less human interaction is needed, and arteriovenous malformation can be automatically segmented, and AVMs with gaps and even sparse blood vessels can be well segmented, and blood supply arteries and drainage veins can be accurately segmented according to the topological relation of the blood vessels.

Description

technical field [0001] The present application belongs to the technical field of medical image processing, and in particular relates to an arteriovenous malformation segmentation method, system and electronic equipment. Background technique [0002] The pathological features of arteriovenous malformation (AVM) are: there is no capillary between the arteriovenous and replaced by a group of abnormal blood vessels with uneven diameter and thickness, and the blood vessels lack elastic layer and muscle. Layer, prone to rupture and bleeding and lead to life-threatening [S.K.Cho, Y.S.Do, S.W.Shin et al., "Arteriovenous malformations of the body and extremities: analysis of therapeutic outcomes and approaches according to a modified angiographic classification," vol.13, no.4 , pp.527-538, 2006]. The current treatment methods for arteriovenous malformations mainly include: surgical resection of malformations, endovascular embolization, and stereotactic radiosurgery [C.S.Ogilvy, P.E....

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Application Information

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IPC IPC(8): G06T7/181G06T11/20
CPCG06T11/20G06T2207/10088G06T2207/30101G06T7/181
Inventor 吴宗翰周寿军张保昌李娜李迟迟王澄
Owner SHENZHEN INST OF ADVANCED TECH
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