Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: Our review and experience using four fully automated and one semi-automated methods
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摘要Automated and high performance carotid intima-media thickness (IMT) measurement is gaining increasing importance in clinical practice to assess the cardiovascular risk of patients. In this paper, we compare four fully automated IMT measurement techniques (CALEX, GAMES, CARES and CAUDLES) and one semi-automated technique (FOAM). We present our experience using these algorithms, whose lumen-intima and media-adventitia border estimation use different methods that can be: (a) edge-based; (b) training-based; (c) feature-based; or (d) directional Edge-Flow based. Our database (DB) consisted of 665 images that represented a multi-ethnic group and was acquired using four OEM scanners. The performance evaluation protocol adopted error measures, reproducibility measures, and Figure of Merit (FoM). FOAM showed the best performance, with an IMT bias equal to 0.025 +/- 0.225 mm, and a FoM equal to 96.6%. Among the four automated methods, CARES showed the best results with a bias of 0.032 +/- 0.279 mm, and a FoM to 95.6%, which was statistically comparable to that of FOAM performance in terms of accuracy and reproducibility. This is the first time that completely automated and user-driven techniques have been compared on a multi-ethnic dataset, acquired using multiple original equipment manufacturer (OEM) machines with different gain settings, representing normal and pathologic cases. (C) 2012 Elsevier Ireland Ltd. All rights reserved.
著者Molinari F, Meiburger KM, Saba L, Acharya UR, Ledda G, Zeng G, Ho SYS, Ahuja AT, Ho SC, Nicolaides A, Suri JS
期刊名稱Computer Methods and Programs in Biomedicine
出版年份2012
月份12
日期1
卷號108
期次3
出版社ELSEVIER IRELAND LTD
頁次946 - 960
國際標準期刊號0169-2607
電子國際標準期刊號1872-7565
語言英式英語
關鍵詞Accuracy and reproducibility; Atherosclerosis; Automation; Benchmarking; Carotid artery; Intima-media thickness measurement; Segmentation; Ultrasound; Validation
Web of Science 學科類別Computer Science; Computer Science, Interdisciplinary Applications; COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS; Computer Science, Theory & Methods; COMPUTER SCIENCE, THEORY & METHODS; Engineering; Engineering, Biomedical; ENGINEERING, BIOMEDICAL; Medical Informatics; MEDICAL INFORMATICS

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