Evaluation method of dynamic characteristics of endovascular stent based on second-order cone programming

A technology of second-order cone planning and dynamic characteristics, applied in the field of medical image processing, can solve problems such as efficiency discount of arterial stent motion characteristics

Active Publication Date: 2021-06-01
FUJIAN AGRI & FORESTRY UNIV +1
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  • Abstract
  • Description
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Problems solved by technology

Due to the need to analyze the arterial stent markers on a large number of sequential images, the efficiency of evaluating the arterial stent motion characteristics is greatly reduced

Method used

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  • Evaluation method of dynamic characteristics of endovascular stent based on second-order cone programming
  • Evaluation method of dynamic characteristics of endovascular stent based on second-order cone programming
  • Evaluation method of dynamic characteristics of endovascular stent based on second-order cone programming

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0047] like figure 1 As shown, the present embodiment provides a method for evaluating the dynamic characteristics of an intraluminal artery stent based on second-order cone programming, including the following steps:

[0048] Step S1: Provide a fluoroscopic X-ray imaging stereo system to acquire sequential lateral and posterior-anterior X-ray fluoroscopic images; deduce directional support filter from Mapped LS-SVM by taking horizontal and vertical directions for local directions filter, and obtain a sequence multi-scale directional support filter by filling zeros in the directional support filter. like figure 2 As shown, using Fluoroscopic roentgenographic stereophoto-grammetric analysis (FRSA) to acquire 45 frames of lateral and posterior-anterior X-ray fluoroscopy images within 1.5 seconds, respectively, the lateral and posterior-anterior X-ray f...

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Abstract

The present invention relates to a method for evaluating the dynamic characteristics of an intraluminal artery stent based on second-order cone programming, comprising the following steps: step S1: performing automatic detection of arterial stent markers; step S2: performing arterial stent marker matching; The planning method performs three-dimensional reconstruction on the arterial stent marker; step S4: evaluating the dynamic characteristics of the arterial stent. The present invention studies the three-dimensional motion characteristics of the intracavity stent through systematic and rigorous analysis, establishes a mechanical dynamic characteristic model of the intracavity stent, obtains the evaluation of the dynamic characteristics of the intracavity stent, and expects to discover defects and failures of the stent itself early.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a second-order cone programming-based method for evaluating the dynamic characteristics of an intracavitary artery stent. Background technique [0002] With the improvement of living standards and population aging, the incidence of aortic aneurysm in my country is on the rise. At present, the best way to treat aortic aneurysm is interventional therapy. Interventional therapy uses a puncture method to deliver a memory alloy stent with membrane to the lesion site through the pipeline system, so that the lesioned blood vessels can be blocked and shielded to achieve a cure. Purpose. Compared with traditional surgery, interventional therapy greatly reduces surgical trauma, shortens operation time, reduces blood loss, speeds up postoperative recovery, and significantly reduces mortality. It has become the main means of rebuilding myocardial blood supply. [0003] As ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/33G06T7/62G06T7/73G06T17/00
CPCG06T5/002G06T17/00G06T2207/10116G06T2207/30096G06T2207/30101G06T7/344G06T7/62G06T7/73
Inventor 杨长才刘翼章蔡方刚张泽均魏丽芳陈日清
Owner FUJIAN AGRI & FORESTRY UNIV
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