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术中高光谱无标记成像:从系统设计到首次临床应用转化

Intraoperative hyperspectral label-free imaging: from system design to first-in-patient translation.

作者信息

Nabavi Eli, Shapey Jonathan, Xie Yijing, Liebmann Florentin, Spirig José Miguel, Hoch Armando, Farshad Mazda, Saeed Shakeel R, Bradford Robert, Yardley Iain, Ourselin Sébastien, Edwards A David, Führnstahl Philipp, Vercauteren Tom

机构信息

School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.

Wellcome / EPSRC Centre for Interventional and Surgical Sciences, UCL, London, United Kingdom.

出版信息

J Phys D Appl Phys. 2021 Jul 22;54(29):294003. doi: 10.1088/1361-6463/abfbf6. Epub 2021 May 14.

DOI:10.1088/1361-6463/abfbf6
PMID:34024940
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8132621/
Abstract

Despite advances in intraoperative surgical imaging, reliable discrimination of critical tissue during surgery remains challenging. As a result, decisions with potentially life-changing consequences for patients are still based on the surgeon's subjective visual assessment. Hyperspectral imaging (HSI) provides a promising solution for objective intraoperative tissue characterisation, with the advantages of being non-contact, non-ionising and non-invasive. However, while its potential to aid surgical decision-making has been investigated for a range of applications, to date no real-time intraoperative HSI (iHSI) system has been presented that follows critical design considerations to ensure a satisfactory integration into the surgical workflow. By establishing functional and technical requirements of an intraoperative system for surgery, we present an iHSI system design that allows for real-time wide-field HSI and responsive surgical guidance in a highly constrained operating theatre. Two systems exploiting state-of-the-art industrial HSI cameras, respectively using linescan and snapshot imaging technology, were designed and investigated by performing assessments against established design criteria and tissue experiments. Finally, we report the use of our real-time iHSI system in a clinical feasibility case study as part of a spinal fusion surgery. Our results demonstrate seamless integration into existing surgical workflows.

摘要

尽管术中手术成像技术有所进步,但在手术过程中可靠地区分关键组织仍然具有挑战性。因此,对患者具有潜在改变生活后果的决策仍然基于外科医生的主观视觉评估。高光谱成像(HSI)为客观的术中组织表征提供了一个有前景的解决方案,具有非接触、非电离和非侵入性的优点。然而,虽然已经针对一系列应用研究了其辅助手术决策的潜力,但迄今为止,尚未出现遵循关键设计考虑因素以确保令人满意地融入手术工作流程的实时术中HSI(iHSI)系统。通过确定术中手术系统的功能和技术要求,我们提出了一种iHSI系统设计,该设计允许在高度受限的手术室中进行实时宽视野HSI和响应式手术指导。通过根据既定设计标准进行评估和组织实验,设计并研究了分别使用线扫描和快照成像技术的两个利用最先进工业HSI相机的系统。最后,我们报告了在脊柱融合手术的临床可行性案例研究中使用我们的实时iHSI系统的情况。我们的结果证明了其与现有手术工作流程的无缝集成。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8fa/8132621/9c0d5d944220/dabfbf6f10_lr.jpg
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J Biomed Opt. 2020 Aug;25(8). doi: 10.1117/1.JBO.25.8.086004.
2
Workflow and hardware for intraoperative hyperspectral data acquisition in neurosurgery.神经外科术中高光谱数据采集的工作流程与硬件
Biomed Tech (Berl). 2020 Jul 25. doi: 10.1515/bmt-2019-0333.
3
Light source calibration for multispectral imaging in surgery.手术中多光谱成像的光源校准。
神经外科中的高光谱成象:系统、计算方法和临床应用的综述。
J Biomed Opt. 2025 Feb;30(2):023512. doi: 10.1117/1.JBO.30.2.023512. Epub 2024 Nov 13.
4
Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing.基于深度强化学习的术中高光谱视频自动聚焦系统
Med Image Comput Comput Assist Interv. 2023 Oct 1:658-667. doi: 10.1007/978-3-031-43996-4_63.
5
Spectral library and method for sparse unmixing of hyperspectral images in fluorescence guided resection of brain tumors.用于脑肿瘤荧光引导切除术中高光谱图像稀疏解混的光谱库和方法。
Biomed Opt Express. 2024 Jul 2;15(8):4406-4424. doi: 10.1364/BOE.528535. eCollection 2024 Aug 1.
6
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Comput Methods Biomech Biomed Eng Imaging Vis. 2021 Nov 30;10(4):409-417. doi: 10.1080/21681163.2021.1997646. eCollection 2022.
7
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Synthetic white balancing for intra-operative hyperspectral imaging.术中高光谱成像的合成白平衡
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Int J Comput Assist Radiol Surg. 2020 Jul;15(7):1117-1125. doi: 10.1007/s11548-020-02195-y. Epub 2020 Jun 13.
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