Coronary artery plaque data detection method and system, storage medium and terminal

A data detection and coronary artery technology, applied in image data processing, neural learning methods, image enhancement and other directions, can solve the problems of difficulty in acquiring labeled data with deep learning methods, difficulty in generating coronary artery trees, time-consuming and labor-intensive manual annotation, etc. Achieve the effect of solving insufficient labeled data, improving generalization ability, and avoiding errors

Active Publication Date: 2020-07-31
NORTHWEST UNIV
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Problems solved by technology

[0004] (1) The existing threshold method has the problem of intensity overlap, and the detection is not accurate
[0005] (2) Existing methods relying on coronary artery segmentation are difficult to generate fine coronary artery trees due to the influence of calcification and excessively thin distal vessels
[0006] (3) Manual design of features by traditional machine learning methods is time-consuming and labor-intensive
[0007] (4) Existing deep model tra

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  • Coronary artery plaque data detection method and system, storage medium and terminal
  • Coronary artery plaque data detection method and system, storage medium and terminal
  • Coronary artery plaque data detection method and system, storage medium and terminal

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Embodiment Construction

[0064] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0065] Aiming at the problems existing in the prior art, the present invention provides a coronary plaque data detection method, system, storage medium, and terminal. The present invention will be described in detail below with reference to the accompanying drawings.

[0066] Such as figure 1 As shown, the coronary plaque data detection method provided by the present invention comprises:

[0067] S101: On the 3D medical image, extract 3D image blocks as samples along the centerline of the coronary artery, and divide the sample data set;

[0068] S102: Constructing a three-dimensional stepwise convolutional neural network ...

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Abstract

The invention belongs to the technical field of medical image processing and computer-aided diagnosis, and discloses a coronary plaque data detection method and system, a storage medium and a terminal. The method comprises steps: on a three-dimensional medical image, extracting a three-dimensional image block along a coronary center line point to serve as a sample, and dividing a sample data set;constructing a three-dimensional stepped convolutional neural network by taking the coronary artery three-dimensional image block sample as input and whether the image contains plaques or not as output; sending the training data set into a network, and calculating a loss function to train a network model; and predicting the trained network model on a test set to complete a coronary plaque detection task. Semi-supervised learning is performed in combination with unlabeled data, plaque detection is completed only depending on a small amount of labeled data, the labeling data difficulty is reduced, and the detection precision is improved. The coronary plaque detection method realizes coronary plaque detection, and has the characteristics of no need of blood vessel pre-segmentation, high accuracy and dependence on a small amount of annotation data.

Description

technical field [0001] The invention belongs to the technical fields of medical image processing and computer-aided diagnosis, and in particular relates to a coronary plaque data detection method, system, storage medium and terminal. Background technique [0002] At present, coronary artery disease is one of the most common cardiovascular diseases, and the generation of coronary atherosclerotic plaque is mainly responsible for coronary artery disease. Early detection and identification of coronary artery plaques is of great significance for the prevention and diagnosis of coronary artery disease. Imaging techniques such as intravascular ultrasound and optical coherence tomography provide detailed visualization of intraluminal as well as plaque morphology and allow reliable quantification of atherosclerotic burden and its components, with good discrimination of plaque properties , but these techniques are invasive and costly, time-consuming and difficult to perform, present ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06N3/04G06N3/08
CPCG06T7/0012G06N3/084G06T2207/10081G06T2207/20081G06T2207/30101G06N3/045Y02A90/10
Inventor 宋小磊吴斌赵凤军范思琪陈一兵朱元强贺小伟侯榆青
Owner NORTHWEST UNIV
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