Ultrasound-based 3D bone modelling in computer assisted orthopedic surgery - a review and future challenges.

IF 1.5 4区 医学 Q3 SURGERY Computer Assisted Surgery Pub Date : 2024-12-01 Epub Date: 2024-01-23 DOI:10.1080/24699322.2023.2276055
Benjamin Hohlmann, Peter Broessner, Klaus Radermacher
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Abstract

Computer-assisted orthopedic surgery requires precise representations of bone surfaces. To date, computed tomography constitutes the gold standard, but comes with a number of limitations, including costs, radiation and availability. Ultrasound has potential to become an alternative to computed tomography, yet suffers from low image quality and limited field-of-view. These shortcomings may be addressed by a fully automatic segmentation and model-based completion of 3D bone surfaces from ultrasound images. This survey summarizes the state-of-the-art in this field by introducing employed algorithms, and determining challenges and trends. For segmentation, a clear trend toward machine learning-based algorithms can be observed. For 3D bone model completion however, none of the published methods involve machine learning. Furthermore, data sets and metrics are identified as weak spots in current research, preventing development and evaluation of models that generalize well.

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计算机辅助骨科手术中基于超声波的三维骨骼建模--回顾与未来挑战。
计算机辅助骨科手术需要精确显示骨骼表面。迄今为止,计算机断层扫描是黄金标准,但也有许多局限性,包括成本、辐射和可用性。超声波具有替代计算机断层扫描的潜力,但图像质量低,视野有限。这些缺点可以通过全自动分割和基于模型完成超声图像中的三维骨骼表面来解决。本调查通过介绍采用的算法、确定挑战和趋势,总结了这一领域的最新技术。在分割方面,基于机器学习的算法趋势明显。然而,在完成三维骨骼模型方面,已发表的方法中没有一种涉及机器学习。此外,数据集和衡量标准被认为是当前研究中的薄弱环节,阻碍了具有良好通用性的模型的开发和评估。
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来源期刊
Computer Assisted Surgery
Computer Assisted Surgery Medicine-Surgery
CiteScore
2.30
自引率
0.00%
发文量
13
审稿时长
10 weeks
期刊介绍: omputer Assisted Surgery aims to improve patient care by advancing the utilization of computers during treatment; to evaluate the benefits and risks associated with the integration of advanced digital technologies into surgical practice; to disseminate clinical and basic research relevant to stereotactic surgery, minimal access surgery, endoscopy, and surgical robotics; to encourage interdisciplinary collaboration between engineers and physicians in developing new concepts and applications; to educate clinicians about the principles and techniques of computer assisted surgery and therapeutics; and to serve the international scientific community as a medium for the transfer of new information relating to theory, research, and practice in biomedical imaging and the surgical specialties. The scope of Computer Assisted Surgery encompasses all fields within surgery, as well as biomedical imaging and instrumentation, and digital technology employed as an adjunct to imaging in diagnosis, therapeutics, and surgery. Topics featured include frameless as well as conventional stereotactic procedures, surgery guided by intraoperative ultrasound or magnetic resonance imaging, image guided focused irradiation, robotic surgery, and any therapeutic interventions performed with the use of digital imaging technology.
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