otsu阈值在医学成像血管内超声中冠状动脉外膜边界的分割与检测

Hannah Sofian, J. Than, N. Mohd Noor, H. Dao
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引用次数: 13

摘要

在本文中,我们提出了一种自动分割方法,以检测有斑块的患者动脉横切面上的外膜和介质之间的边界。遇到的问题是,当斑块存在时,外膜、中膜、内膜和管腔的边界被嵌入。此外,动脉疾病已经破坏了组织层。本文提出了一种利用血管内超声(IVUS)图像分割和检测动脉外边界(中外膜区域)的方法。本文提出的分割方法是先采用Otsu阈值分割,再采用经验阈值分割和二值形态分割。本研究使用的数据来自IVUS图像数据集B的10个样本,由Simone Balocco提供(训练集,计算机视觉中心,Bellaterra,巴塞罗那大学,Dept. Matemàtica applied i Anàlisi,巴塞罗那)。该方法在IVUS图像介质外边界的检测和分割方面取得了良好的效果。
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Segmentation and detection of media adventitia coronary artery boundary in medical imaging intravascular ultrasound using otsu thresholding
In this paper we present an automated segmentation method to detect the boundary between adventitia and media on the cross sectional view of the artery of patients who have plaques. The problem encounter is that the boundaries of the adventitia, media, intima and lumen are embedded when plaques exist. Moreover, the artery disease has damaged the tissue layers. This paper proposed a method in segmenting and detecting the outer boundary which is the media adventitia area of the artery using intravascular ultrasound (IVUS) images. The proposed method for segmentation is to use Otsu thresholding, followed by empirical thresholding and binary - morphological operation. The data used in this study was 10 samples from dataset B of IVUS images, courtesy of Simone Balocco (Training set, Computer Vision Center, Bellaterra, Universitat de Barcelona, Dept. Matemàtica Aplicada i Anàlisi, Barcelona). The proposed method shows promising result in detecting and segmenting the media adventitia boundary of the IVUS images.
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