增强现实手术导航:临床应用、关键技术及未来发展方向

Q1 Computer Science
Virtual Reality Intelligent Hardware Pub Date : 2026-02-01 Epub Date: 2026-03-14 DOI:10.1016/j.vrih.2025.12.002
Yuanyuan WANG , Dawei LU , Jingfan FAN , Deqiang XIAO , Danni AI , Tianyu FU , Yucong LIN , Long SHAO , Tao CHEN , Hong SONG , Yongtian WANG , Jian YANG
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引用次数: 0

摘要

通过增强现实、虚拟现实和混合现实的进步,外科手术导航已经有了显著的发展,提高了许多临床应用的精度和安全性,包括神经外科、颌面外科、脊柱和关节成形术。通过将术前成像与术中实时数据相结合,这些系统提供动态引导,减少辐射暴露,并最大限度地减少组织损伤。关键的挑战仍然存在,包括术中定位准确性、柔性组织变形、呼吸代偿和实时成像质量。新兴的解决方案包括人工智能驱动的分割、变形场建模和混合配准技术。未来的发展将包括轻量级、便携式系统、改进的非刚性注册算法以及更多的临床应用。尽管在硬组织应用方面取得了进展,但软组织导航需要额外的创新来解决运动变异性和注册可靠性,最终推进微创手术和精准医学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Augmented reality surgical navigation: Clinical applications, key technologies, and future directions
Surgical navigation has evolved significantly through advances in augmented reality, virtual reality, and mixed reality, improving precision and safety across many clinical applications, including neurosurgery, maxillofacial, spinal, and arthroplasty procedures. By integrating preoperative imaging with real-time intraoperative data, these systems provide dynamic guidance, reduce radiation exposure, and minimize tissue damage. Key challenges persist, including intraoperative registration accuracy, flexible tissue deformation, respiratory compensation, and real-time imaging quality. Emerging solutions include artificial intelligence-driven segmentation, deformation-field modeling, and hybrid registration techniques. Future developments will include lightweight, portable systems, improved non-rigid registration algorithms, and greater clinical adoption. Despite advances in rigid-tissue applications, soft-tissue navigation requires additional innovation to address motion variability and registration reliability, ultimately advancing minimally invasive surgery and precision medicine.
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来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
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