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头颈计算机辅助手术中的图像到患者配准:现状、前景与挑战

Image-to-Patient Registration in Computer-Assisted Surgery of Head and Neck: State-of-the-Art, Perspectives, and Challenges.

作者信息

Taleb Ali, Guigou Caroline, Leclerc Sarah, Lalande Alain, Bozorg Grayeli Alexis

机构信息

Team IFTIM, Institute of Molecular Chemistry of University of Burgundy (ICMUB UMR CNRS 6302), Univ. Bourgogne Franche-Comté, 21000 Dijon, France.

Otolaryngology Department, University Hospital of Dijon, 21000 Dijon, France.

出版信息

J Clin Med. 2023 Aug 19;12(16):5398. doi: 10.3390/jcm12165398.

DOI:10.3390/jcm12165398
PMID:37629441
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10455300/
Abstract

Today, image-guided systems play a significant role in improving the outcome of diagnostic and therapeutic interventions. They provide crucial anatomical information during the procedure to decrease the size and the extent of the approach, to reduce intraoperative complications, and to increase accuracy, repeatability, and safety. Image-to-patient registration is the first step in image-guided procedures. It establishes a correspondence between the patient's preoperative imaging and the intraoperative data. When it comes to the head-and-neck region, the presence of many sensitive structures such as the central nervous system or the neurosensory organs requires a millimetric precision. This review allows evaluating the characteristics and the performances of different registration methods in the head-and-neck region used in the operation room from the perspectives of accuracy, invasiveness, and processing times. Our work led to the conclusion that invasive marker-based methods are still considered as the gold standard of image-to-patient registration. The surface-based methods are recommended for faster procedures and applied on the surface tissues especially around the eyes. In the near future, computer vision technology is expected to enhance these systems by reducing human errors and cognitive load in the operating room.

摘要

如今,图像引导系统在改善诊断和治疗干预的结果方面发挥着重要作用。它们在手术过程中提供关键的解剖信息,以减小手术入路的尺寸和范围,减少术中并发症,并提高准确性、可重复性和安全性。图像与患者配准是图像引导手术的第一步。它建立了患者术前影像与术中数据之间的对应关系。在头颈部区域,由于存在许多敏感结构,如中枢神经系统或神经感觉器官,因此需要毫米级的精度。这篇综述允许从准确性、侵入性和处理时间的角度评估手术室中用于头颈部区域的不同配准方法的特点和性能。我们的工作得出的结论是,基于侵入性标志物的方法仍被视为图像与患者配准的金标准。基于表面的方法推荐用于更快的手术,并应用于表面组织,特别是眼睛周围。在不久的将来,预计计算机视觉技术将通过减少手术室中的人为错误和认知负荷来增强这些系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c66/10455300/72da93d5b870/jcm-12-05398-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c66/10455300/5634dffe78b2/jcm-12-05398-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c66/10455300/b9062e877486/jcm-12-05398-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c66/10455300/72da93d5b870/jcm-12-05398-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c66/10455300/5634dffe78b2/jcm-12-05398-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c66/10455300/445c0be778ba/jcm-12-05398-g003.jpg
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