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Carotid artery center line extraction method and device, storage medium and electronic equipment

An extraction method, carotid artery technology, applied in the field of image segmentation, to achieve the effect of performance improvement

Pending Publication Date: 2022-05-27
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In order to solve the technical problem of automatically and accurately extracting the centerline of the carotid artery from the three-dimensional image of the neck vessels, the embodiment of the present invention provides a method, device, storage medium and electronic equipment for extracting the centerline of the carotid artery

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  • Carotid artery center line extraction method and device, storage medium and electronic equipment
  • Carotid artery center line extraction method and device, storage medium and electronic equipment

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Embodiment 1

[0049] Figure 1 A flowchart illustrating a carotid artery centerline extraction method is shown, such as Figure 1 As shown, the present embodiment provides a carotid artery centerline extraction method, comprising at least step S101 ~ step S105:

[0050] Step S101: Acquire a three-dimensional image of a blood vessel in the neck.

[0051] In some embodiments, the three-dimensional cervical vascular image includes, but is not limited to, a three-dimensional cervical TOF MRA image or a three-dimensional cervical CTA (CT angiography) image, in practice, the three-dimensional cervical vascular image may also be another type of image.

[0052] Step S102, segment the vascular mask image from the three-dimensional cervical vascular image.

[0053] In practical applications, based on the existing TOF MRA image vascular segmentation deep learning algorithm for vascular mask image segmentation, the present embodiment uses the classical 3D U-Net model to segment the three-dimensional cervica...

Embodiment 2

[0095] The present embodiment provides a carotid artery centerline extraction device, comprising:

[0096]Image acquisition module for acquiring three-dimensional images of blood vessels in the neck;

[0097] Image processing module for segmenting the vascular mask image from the three-dimensional cervical vascular image;

[0098] The first extraction module for extracting the vascular centerline from the vascular mask image to form a three-dimensional cervical vascular centerline image;

[0099] Centerline recognition module for identifying the carotid artery centerline from the three-dimensional cervical vascular centerline image, to obtain a carotid artery centerline image, wherein the carotid artery centerline comprises the left carotid artery centerline and the right carotid artery centerline;

[0100] A second extraction module for extracting the common carotid - internal carotid artery centerline from the carotid artery centerline image, respectively.

[0101] It should be ...

Embodiment 3

[0104] The present embodiment provides a computer-readable storage medium, comprising: a computer-readable storage medium is stored on a computer program, when the computer program is executed by one or more processors, to achieve a carotid artery centerline extraction method of Example 1.

[0105]In the present embodiment, the storage medium may be implemented by any type of volatile or nonvolatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), Magnetic Memory, Flash Memory, Disk or Optical Disk.

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Abstract

The invention provides a carotid artery center line extraction method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring a three-dimensional neck blood vessel image; segmenting the three-dimensional neck blood vessel image to obtain a blood vessel mask image; extracting a blood vessel skeleton line from the blood vessel mask image to form a three-dimensional neck blood vessel skeleton line image; a carotid artery skeleton line is recognized from the three-dimensional neck blood vessel center line image, a carotid artery skeleton line image is obtained, and the carotid artery skeleton line comprises a left carotid artery skeleton line and a right carotid artery skeleton line; and extracting a common carotid artery-internal carotid artery center line from the carotid artery skeleton line image. The technical problem of automatically and accurately extracting the carotid artery center line from the three-dimensional image of the neck blood vessel is solved, the problems of complex network design, manual labeling and the like are avoided, the principle is simple, and the practicability is extremely high.

Description

Technical field [0001] The present invention relates to the field of image segmentation, in particular to a carotid artery centerline extraction method, apparatus, storage medium and electronic device. Background [0002] Stroke has become a major disease that threatens human life and health, of which carotid atherosclerosis is one of the important causes of stroke disease. Detection of atherosclerotic lesions usually requires the extraction of the geometry of the carotid artery and the acquisition of vascular morphological information. The centerline of the carotid artery can represent the topology of the blood vessel, which can reflect the morphological characteristics of the blood vessel, which is the basis for quantitative analysis and judgment of carotid artery structural lesions. In particular, the branches of blood vessels that supply blood to the intracranial blood supply from the common carotid artery to the internal carotid artery are the branches that clinicians are mo...

Claims

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Application Information

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IPC IPC(8): A61B5/02A61B5/055A61B6/03G06F17/15G06T5/00G06T7/187G06T7/68G06T7/73
CPCA61B5/02007A61B5/72A61B5/055A61B6/466A61B6/504A61B6/032G06T7/68G06T7/187G06T7/74G06F17/15G06T2207/30101G06T5/70
Inventor 李睿邱伟陈硕
Owner TSINGHUA UNIV
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