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Automatic detection method of vulnerable plaque in ivoct image

A vulnerable plaque, automatic detection technology, applied in image analysis, image enhancement, image data processing and other directions, can solve problems such as difficulties in clinical promotion, ignoring recall rate coincidence

Active Publication Date: 2021-05-14
成都斯斐德科技有限公司 +1
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Problems solved by technology

[0005] However, the above-mentioned research work still adopts the traditional image classification (image classification) or object detection (object detection) method, only considering the classification or detection accuracy (precision rate), without considering the recall rate (recall rate) and coincidence Overlap rate and other indicators lead to difficulties in clinical promotion

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  • Automatic detection method of vulnerable plaque in ivoct image
  • Automatic detection method of vulnerable plaque in ivoct image
  • Automatic detection method of vulnerable plaque in ivoct image

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Embodiment

[0043] figure 1 This is a specific implementation flow chart of the method for automatic detection of vulnerable plaques in IVOCT images of the present invention. like figure 1 As shown, the specific steps of the IVOCT image vulnerable plaque automatic detection method of the present invention include:

[0044] S101: Obtain a sample IVOCT image:

[0045] Collect K sample IVOCT images, including positive sample IVOCT images with vulnerable patches and negative sample IVOCT images without vulnerable patches, normalize the size of the IVOCT images to the preset size, for each positive sample IVOCT image Image, where vulnerable plaque areas are manually marked.

[0046] In this embodiment, the number of positive sample IVOCT images and negative sample IVOCT images are each 1000, the image size is 704*704 (height*width), and it is a single-channel 8-bit grayscale image. figure 2 It is an example diagram of the positive sample IVOCT image in this embodiment. like figure 2 As...

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Abstract

The invention discloses an automatic detection method for vulnerable plaques in IVOCT images. Firstly, a positive sample IVOCT image containing vulnerable plaques and a negative sample IVOCT image without vulnerable plaques are collected, converted to a polar coordinate system and subjected to denoising processing. , each IVOCT image is spliced ​​from end to end, and in the splicing IVOCT image, a sliding window of the original image size is used to extract the image and a mirror image of the extracted image is obtained, and then each image is spliced ​​end to end, thereby enhancing the sample data , use the enhanced training sample set to train in the Faster R‑CNN network to obtain a detection model, use the trained detection model to detect vulnerable plaques on the IVOCT image to be detected, and perform overlapping vulnerable plaque areas on the detected images Processing, and then post-detection processing to obtain the detection results, and then restore the coordinate system. The invention can effectively improve the technical performance of automatic detection of vulnerable plaques in IVOCT images, and the results are more objective, and can greatly reduce the workload of doctors.

Description

technical field [0001] The invention belongs to the technical field of IVOCT image processing, and more particularly, relates to an automatic detection method for vulnerable plaques in IVOCT images. Background technique [0002] Coronary heart disease (CAD) is one of the most fatal diseases in the world. Among them, acute coronary syndrome (ACS) is the most dangerous condition. Nearly 70% of ACS events are caused by rupture of the vulnerable plaque of coronary atherosclerosis. Therefore, the vulnerable plaque of coronary atherosclerosis is the main culprit leading to ACS, so it is necessary to detect the vulnerable plaque early and actively intervene. [0003] Detection of vulnerable plaque relies on intravascular imaging modality. Currently, two imaging techniques, intravascular ultrasound (IVUS) and intravascular optical coherence tomography (IVOCT), are commonly used clinically to detect vulnerable plaques. Among them, IVOCT is a high-resolution (10-20 μm) imaging met...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/70
CPCG06T7/0012G06T2207/10101G06T2207/20081G06T2207/20084G06T2207/30048G06T2207/30101G06T7/13G06T7/70
Inventor 刘然郑杨婷田逢春张艳珍李德豪刘明明
Owner 成都斯斐德科技有限公司