Calcified plaque detection decision system and device based on artificial intelligence algorithm

A calcified plaque and artificial intelligence technology, applied in the field of medical image processing, can solve the problems of lack of automatic identification and quantification of calcified plaque, difficulty in automatic detection of calcified plaque with high sensitivity and accuracy, and weak robustness , to achieve the effect of reducing long-term clinical adverse events, reducing postoperative complications, and improving detection accuracy

Pending Publication Date: 2020-10-13
成都全景恒升科技有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is: for the detection of calcified plaques for a single medical image, there is a lack of systematic tools for automatically identifying and quantifying calcified plaques, and the existing patented technology uses macroscopic and advanced image information, and its robustness is not strong It is difficult to automatically detect calcified plaque with high sensitivity and accuracy. The purpose is to provide a calcified plaque detection decision-making system and device based on artificial intelligence algorithms to solve the problems of automatic detection and systematic quantitative processing of calcified plaque.

Method used

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  • Calcified plaque detection decision system and device based on artificial intelligence algorithm

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Embodiment 1

[0033] Embodiment 1 is a calcified plaque detection decision system based on an artificial intelligence algorithm, such as figure 1 As shown, the diagnosis of calcified plaque by angiography and intravascular imaging system includes the following steps:

[0034] S1: Acquisition of intravascular images based on intravascular images or an integrated system of angiography and intravascular images. Intravascular images include OCT images and IVUS images.

[0035]S2: The acquired OCT and IVUS images are in the same direction of rotation and pullback.

[0036] S3: The collected OCT and IVUS images are automatically detected and segmented into calcified plaque areas through artificial intelligence algorithms.

[0037] S4: Quantify the position, depth, area, angle, thickness and other characteristics of the detected calcified plaque.

[0038] S5: Displaying the segmented calcified plaque on a display terminal through two-dimensional and three-dimensional rendering.

[0039] S6: Cla...

Embodiment 2

[0045] The purpose of this embodiment 1 is to propose a calcified plaque decision system in medical imaging, such as image 3 As shown, based on intraoperative image data, especially intravascular images, artificial intelligence algorithms are used to automatically identify calcified plaques, quantify and visualize them, and provide data reference for clinicians to make decisions.

[0046] On the one hand, establish a computer data processing system, input angiography and intravascular images into the data processing system, use artificial intelligence algorithms to automatically detect and segment calcified plaques in intravascular images, and further analyze the location, depth, The area and other characteristics are quantified, and the segmented calcified plaque is displayed on the display terminal through two-dimensional and three-dimensional rendering.

[0047] On the other hand, the above computing data processing system is integrated into the calcified plaque operation ...

Embodiment 3

[0056] In this embodiment 3, on the basis of the embodiment 2, the calcified plaque decision-making system in medical imaging is integrated into the calcified plaque operation catheter to form an intravascular imaging-calcified plaque integrated system. The feature of Embodiment 3 is that the intravascular imaging data processing system and the calcified plaque equipment are integrated into one system and one catheter. Due to the limitation of the size of the blood vessel and only one catheter can be attached each time the interventional guide wire enters the coronary artery, the two catheters generally enter the blood vessel in sequence, so intravascular imaging and calcified plaque operation cannot be performed at the same time. The device catheter integrated with the image data processing system can realize both at the same time, which improves the doctor's operation efficiency and saves the doctor's operation time.

[0057] Through the artificial intelligence algorithm-bas...

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Abstract

The invention discloses a calcified plaque detection decision system based on an artificial intelligence algorithm. According to the system, an intravascular image is acquired based on an intravascular image or an intravascular radiography and intravascular image integrated system or an intravascular imaging-calcified plaque decision integrated system; if the intravascular image is an integrated image of OCT and IVUS, the OCT image and the IVUS image are collected at the same time, and the positions of the OCT image and the IVUS image in rotation and pull-back are consistent, wherein alignmentis conducted through an image processing algorithm; the collected OCT image and IVUS image are automatically detected and segmented to obtain a calcified plaque area; the related characteristics of the calcified plaque are detected and quantified; the related characteristics are displayed on a display terminal after two-dimensional and three-dimensional rendering; the calcified plaques are classified and decided, and an optimal decision scheme is automatically recommended; and a result after calcified plaque operation is evaluated, and stent intervention is performed after optimizing. According to the invention, automatic identification and segmentation quantification of calcified plaques in intravascular image detection are realized, and accurate data support is provided for doctors.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a calcified plaque detection device and a decision system in medical images. Background technique [0002] Acute coronary syndrome (ACS) is a serious cardiovascular disease in which myocardial ischemia or infarction is caused by thrombus or insufficient blood flow, which is the main cause of sudden death and paralysis. Percutaneous Coronary Intervention (PCI), the implantation of stents in diseased blood vessels, is the most common method for the treatment of ACS. Coronary angiography is the most commonly used imaging tool for diagnosing atherosclerosis and guiding stent implantation, but its low resolution and two-dimensional projection imaging methods are not enough to analyze the type and distribution of atherosclerotic plaques. Coronary angiography alone often cannot give the best clinical diagnosis and treatment plan for ACS. Intravascular imaging techniques such as...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/60G06T7/33G06N3/04G06N3/08G16H30/00
CPCG06T7/0012G06T7/11G06T7/60G06T7/33G06N3/08G16H30/00G06T2207/10101G06T2207/20081G06T2207/30101G06N3/045
Inventor 于波王钊曾强侯静波贾海波
Owner 成都全景恒升科技有限公司
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