Ultrasound imaging and segmentation of bone surfaces: A review.

TECHNOLOGY Pub Date : 2017-06-01 Epub Date: 2017-03-31 DOI:10.1142/S2339547817300049
Ilker Hacihaliloglu
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引用次数: 49

Abstract

Due to its real-time, non-radiation based three-dimensional (3D) imaging capabilities, ultrasound (US) has been incorporated into various orthopedic procedures. However, imaging artifacts, low signal-to-noise ratio (SNR) and bone boundaries appearing several mm in thickness make the analysis of US data difficult. This paper provides a review about the state-of-the-art bone segmentation and enhancement methods developed for two-dimensional (2D) and 3D US data. First, an overview for the appearance of bone surface response in B-mode data is presented. Then, classification of the proposed techniques in terms of the image information being used is provided. Specifically, the focus is given on segmentation and enhancement of B-mode US data. The review is concluded by discussing future directions of research and additional challenges which need to be overcome in order to make this imaging modality more successful in orthopedics.

Abstract Image

Abstract Image

Abstract Image

骨表面超声成像与分割:综述。
由于其实时、非辐射的三维(3D)成像能力,超声(US)已被纳入各种骨科手术。然而,成像伪影、低信噪比(SNR)和骨边界出现几毫米厚,使得US数据的分析变得困难。本文综述了针对二维(2D)和三维US数据开发的最先进的骨分割和增强方法。首先,概述了b模式数据中骨表面响应的外观。然后,根据所使用的图像信息对所提出的技术进行分类。具体而言,重点是对b模式美国数据的分割和增强。本文最后讨论了未来的研究方向和需要克服的额外挑战,以使这种成像模式在骨科中更成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
TECHNOLOGY
TECHNOLOGY ENGINEERING, MULTIDISCIPLINARY-
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