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CARES 3.0:一种两阶段系统,该系统结合了基于特征的识别和基于边缘的分割,用于在一个包含300幅图像的多机构超声数据库上进行颈总动脉内膜中层厚度(CIMT)测量。

CARES 3.0: a two stage system combining feature-based recognition and edge-based segmentation for CIMT measurement on a multi-institutional ultrasound database of 300 images.

作者信息

Molinari Filippo, Meiburger Kristen M, Acharya U Rajendra, Zeng Guang, Rodrigues Paulo S, Saba Luca, Nicolaides Andrew, Suri Jasjit S

机构信息

BioLab, Department of Electronics, Politecnico di Torino, Torino, Italy.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5149-52. doi: 10.1109/IEMBS.2011.6091275.

Abstract

The intima-media thickness of the carotid artery (CIMT) is a validated marker of atherosclerosis. Accurate CIMT measurement can be performed by specifically designed computer algorithms. We improved a previous CIMT measurement technique by introducing a smart heuristic search for the lumen-intima (LI) and media-adventitia (MA) interfaces of the carotid distal wall. We called this new release as CARES 3.0 (a class of AtheroEdge™ system, a patented technology from Global Biomedical Technologies, Inc., CA, USA). CARES 3.0 is completely automated and adopts an integrated approach for carotid location in the image frame, followed by segmentation based on edge snapper and heuristic search. CARES 3.0 was benchmarked against three other techniques on a 300 image multi-institutional database. One of the techniques was user-driven. The CARES 3.0 CIMT measurement bias was -0.021 ± 0.182 mm, which was better than that of the semi automated method (-0.036 ± 0.183 mm). CARES 3.0 outperformed the other two fully automated methods. The Figure-of-Merit of CARES 3.0 was 97.4%, better than that of the semi-automated technique (95.4%).

摘要

颈动脉内膜中层厚度(CIMT)是一种经过验证的动脉粥样硬化标志物。可以通过专门设计的计算机算法进行准确的CIMT测量。我们通过引入一种智能启发式搜索来寻找颈动脉远端壁的管腔内膜(LI)和中膜外膜(MA)界面,改进了先前的CIMT测量技术。我们将这个新版本称为CARES 3.0(AtheroEdge™系统的一类,美国加利福尼亚州全球生物医学技术公司的一项专利技术)。CARES 3.0完全自动化,并采用一种集成方法在图像帧中定位颈动脉,随后基于边缘捕捉器和启发式搜索进行分割。在一个包含300张图像的多机构数据库上,将CARES 3.0与其他三种技术进行了基准测试。其中一种技术是用户驱动的。CARES 3.0的CIMT测量偏差为-0.021±0.182毫米,优于半自动方法(-0.036±0.183毫米)。CARES 3.0的表现优于其他两种全自动方法。CARES 3.0的品质因数为97.4%,优于半自动技术(95.4%)。

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