Multimodal feedback systems for smart laser osteotomy: Depth control and tissue differentiation

IF 2.2 3区医学 Q2 DERMATOLOGY

Lasers in Surgery and Medicine Pub Date : 2023-10-23 DOI:10.1002/lsm.23732

Arsham Hamidi PhD, Yakub A. Bayhaqi PhD, Sandra Drusová PhD, Alexander A. Navarini MD, PhD, Philippe C. Cattin PhD, Ferda Canbaz PhD, Azhar Zam PhD

{"title":"Multimodal feedback systems for smart laser osteotomy: Depth control and tissue differentiation","authors":"Arsham Hamidi PhD, Yakub A. Bayhaqi PhD, Sandra Drusová PhD, Alexander A. Navarini MD, PhD, Philippe C. Cattin PhD, Ferda Canbaz PhD, Azhar Zam PhD","doi":"10.1002/lsm.23732","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objectives</h3>\n \n <p>The study aimed to improve the safety and accuracy of laser osteotomy (bone surgery) by integrating optical feedback systems with an Er:YAG laser. Optical feedback consists of a real-time visual feedback system that monitors and controls the depth of laser-induced cuts and a tissue sensor differentiating tissue types based on their chemical composition. The developed multimodal feedback systems demonstrated the potential to enhance the safety and accuracy of laser surgery.</p>\n </section>\n \n <section>\n \n <h3> Materials and Methods</h3>\n \n <p>The proposed method utilizes a laser-induced breakdown spectroscopy (LIBS) system and long-range Bessel-like beam optical coherence tomography (OCT) for tissue-specific laser surgery. The LIBS system detects tissue types by analyzing the plasma generated on the tissue by a nanosecond Nd:YAG laser, while OCT provides real-time monitoring and control of the laser-induced cut depth. The OCT system operates at a wavelength of 1288 ± 30 nm and has an A-scan rate of 104.17 kHz, enabling accurate depth control. Optical shutters are used to facilitate the integration of these multimodal feedback systems.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The proposed system was tested on five specimens of pig femur bone to evaluate its functionality. Tissue differentiation and visual depth feedback were used to achieve high precision both on the surface and in-depth. The results showed successful real-time tissue differentiation and visualization without any visible thermal damage or carbonization. The accuracy of the tissue differentiation was evaluated, with a mean absolute error of 330.4 μm and a standard deviation of ±248.9 μm, indicating that bone ablation was typically stopped before reaching the bone marrow. The depth control of the laser cut had a mean accuracy of 65.9 μm with a standard deviation of ±45 μm, demonstrating the system's ability to achieve the pre-planned cutting depth.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The integrated approach of combining an ablative laser, visual feedback (OCT), and tissue sensor (LIBS) has significant potential for enhancing minimally invasive surgery and warrants further investigation and development.</p>\n </section>\n </div>","PeriodicalId":17961,"journal":{"name":"Lasers in Surgery and Medicine","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/lsm.23732","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lasers in Surgery and Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/lsm.23732","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DERMATOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Objectives

The study aimed to improve the safety and accuracy of laser osteotomy (bone surgery) by integrating optical feedback systems with an Er:YAG laser. Optical feedback consists of a real-time visual feedback system that monitors and controls the depth of laser-induced cuts and a tissue sensor differentiating tissue types based on their chemical composition. The developed multimodal feedback systems demonstrated the potential to enhance the safety and accuracy of laser surgery.

Materials and Methods

The proposed method utilizes a laser-induced breakdown spectroscopy (LIBS) system and long-range Bessel-like beam optical coherence tomography (OCT) for tissue-specific laser surgery. The LIBS system detects tissue types by analyzing the plasma generated on the tissue by a nanosecond Nd:YAG laser, while OCT provides real-time monitoring and control of the laser-induced cut depth. The OCT system operates at a wavelength of 1288 ± 30 nm and has an A-scan rate of 104.17 kHz, enabling accurate depth control. Optical shutters are used to facilitate the integration of these multimodal feedback systems.

Results

The proposed system was tested on five specimens of pig femur bone to evaluate its functionality. Tissue differentiation and visual depth feedback were used to achieve high precision both on the surface and in-depth. The results showed successful real-time tissue differentiation and visualization without any visible thermal damage or carbonization. The accuracy of the tissue differentiation was evaluated, with a mean absolute error of 330.4 μm and a standard deviation of ±248.9 μm, indicating that bone ablation was typically stopped before reaching the bone marrow. The depth control of the laser cut had a mean accuracy of 65.9 μm with a standard deviation of ±45 μm, demonstrating the system's ability to achieve the pre-planned cutting depth.

Conclusion

The integrated approach of combining an ablative laser, visual feedback (OCT), and tissue sensor (LIBS) has significant potential for enhancing minimally invasive surgery and warrants further investigation and development.

Abstract Image

查看原文本刊更多论文

智能激光截骨的多模式反馈系统：深度控制和组织分化。

目的：本研究旨在通过将光学反馈系统与Er:YAG激光器集成，提高激光截骨（骨外科）的安全性和准确性。光学反馈由一个实时视觉反馈系统和一个组织传感器组成，该系统监测和控制激光诱导切割的深度，该传感器根据组织的化学成分区分组织类型。所开发的多模式反馈系统证明了提高激光手术安全性和准确性的潜力。材料和方法：所提出的方法利用激光诱导击穿光谱（LIBS）系统和长程贝塞尔光束光学相干断层扫描（OCT）进行组织特异性激光手术。LIBS系统通过分析纳秒Nd:YAG激光器在组织上产生的等离子体来检测组织类型，而OCT则提供对激光诱导切割深度的实时监测和控制。OCT系统的工作波长为1288 ± 30 nm，并且具有104.17的A扫描速率 kHz，实现精确的深度控制。光学快门用于促进这些多模式反馈系统的集成。结果：所提出的系统在五个猪股骨标本上进行了测试，以评估其功能。组织分化和视觉深度反馈用于实现表面和深度的高精度。结果显示，成功的实时组织分化和可视化，没有任何可见的热损伤或碳化。对组织分化的准确性进行了评估，平均绝对误差为330.4 μm，标准偏差为±248.9 μm，表明骨消融通常在到达骨髓之前停止。激光切割的深度控制的平均精度为65.9 μm，标准偏差为±45 μm，展示了该系统实现预先计划的切割深度的能力。结论：消融激光、视觉反馈（OCT）和组织传感器（LIBS）相结合的综合方法在增强微创手术方面具有巨大潜力，值得进一步研究和开发。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Lasers in Surgery and Medicine 医学-外科

CiteScore

5.40

自引率

12.50%

发文量

119

审稿时长

1 months

期刊介绍： Lasers in Surgery and Medicine publishes the highest quality research and clinical manuscripts in areas relating to the use of lasers in medicine and biology. The journal publishes basic and clinical studies on the therapeutic and diagnostic use of lasers in all the surgical and medical specialties. Contributions regarding clinical trials, new therapeutic techniques or instrumentation, laser biophysics and bioengineering, photobiology and photochemistry, outcomes research, cost-effectiveness, and other aspects of biomedicine are welcome. Using a process of rigorous yet rapid review of submitted manuscripts, findings of high scientific and medical interest are published with a minimum delay.

文献相关原料

公司名称	产品信息	采购帮参考价格