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Vascular stenosis quantification method, device and equipment and readable storage medium

A technique of vascular stenosis and quantification method, applied in the quantification method of vascular stenosis, equipment and readable storage medium, device field, can solve the problem of inaccurate stenosis rate of the most stenotic point in the blood vessel, achieve high accuracy and avoid trauma. Effect

Pending Publication Date: 2021-06-25
SHANGHAI SIXTH PEOPLES HOSPITAL
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Problems solved by technology

[0003] However, the DSA data obtained by the current technology is still not accurate enough to calculate the stenosis rate of the narrowest point in the blood vessel.

Method used

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  • Vascular stenosis quantification method, device and equipment and readable storage medium
  • Vascular stenosis quantification method, device and equipment and readable storage medium
  • Vascular stenosis quantification method, device and equipment and readable storage medium

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Embodiment Construction

[0021] In order to make the objectives, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present invention.

[0022] like figure 1 As shown, one aspect of the present invention provides a method for quantifying vascular stenosis, the method comprising:

[0023] Step 101, acquiring a CT image including a lesion blood vessel;

[0024] Step 102, using the CT image as the input of the trained neural network model, and generating a DSA bloo...

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Abstract

The invention discloses a method, a device and equipment for quantifying vascular stenosis and a readable storage medium. The method comprises the following steps: acquiring a CT image containing a lesion blood vessel; taking the CT image as the input of a trained neural network model, and generating a DSA blood vessel image correspondingly containing the focus blood vessel; according to the DSA blood vessel image, determining the stenosis rate of the narrowest point in the focus blood vessel. Therefore, the DSA blood vessel image is obtained in the mode that the CT image is converted through the neural network model, and the DSA blood vessel image obtained through the mode is higher in accuracy when the stenosis rate of the narrowest point in the focus blood vessel is calculated. Meanwhile, the DSA blood vessel image is obtained through neural network model conversion, and the step of arterial intubation and trauma generated by arterial intubation in the prior art can be avoided.

Description

technical field [0001] The present invention relates to the field of medical technology, and in particular, to a method, device, device and readable storage medium for quantifying blood vessel stenosis. Background technique [0002] Among the existing medical technologies, DSA is usually regarded as the most accurate cerebral angiography method with the highest resolution, and is the "gold standard" for diagnosing cerebrovascular diseases. [0003] However, the DSA data obtained by the current technology is still not accurate enough to calculate the stenosis rate of the most stenotic point in the blood vessel. SUMMARY OF THE INVENTION [0004] Embodiments of the present invention provide a method, device, device, and readable storage medium for quantifying blood vessel stenosis, which have the technical effect of improving the accuracy of calculating the stenosis rate of the most stenotic point in a focal blood vessel. [0005] One aspect of the present invention provides...

Claims

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Application Information

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IPC IPC(8): A61B6/03
CPCA61B6/032A61B6/504A61B6/5217A61B6/5211
Inventor 李跃华
Owner SHANGHAI SIXTH PEOPLES HOSPITAL
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