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NRI: Advanced Biophotonics for Image-guided Robotic Surgery

NRI：用于图像引导机器人手术的先进生物光子学

基本信息

批准号：
8917217
负责人：
Eric J Seibel
金额：
$ 30.34万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-01 至 2017-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8917217
关键词：
Ablation Affect Algorithms Anatomy Area Biological Biological Markers Biological Models Biophotonics Brain Brain Neoplasms Cancerous Complex Computer software Devices Diagnostic Imaging Dyes Endoscopes Engineering Environment Excision Fiber Fluorescence Future Goals Health Human Image Imaging Techniques Laser Surgery Lasers Lead Left Life Lighting Location Malignant Neoplasms Marketing Medical Modeling Monitor Motion Neurologic Neurosurgeon Noise Operative Surgical Procedures Patients Performance Procedures Research Research Project Grants Resected Residual Tumors Resolution Robot Robotics Safety Scanning Signal Transduction Site Spectrum Analysis Stream Surgeon Surgical Instruments System Techniques Technology Testing Therapeutic Time Tissues Tumor Tissue Visible Radiation Vision Work arm base bioimaging brain surgery brain tissue cancer imaging cancer therapy clinically relevant cranium dexterity fluorescence imaging image guided imaging system improved minimally invasive model building multidisciplinary neoplastic novel operation photonics robot assistance software systems three-dimensional modeling tool tumor

项目摘要

DESCRIPTION (provided by applicant): Complete resection of tumor tissue remains one of the most important factors for survival in patients with cancer. Surgical removal is the most common front-line cancer therapy. Tumor resection in the brain is exceptionally difficult because leaving residual tumor tissue leads to decreased survival and removing normal healthy brain tissue leads to life-long neurological deficits. Brain surgery requires a very high degree of dexterity, accurate navigation, and niicro-precision cutting over long durations; thus it is an idel candidate for robotically assisted surgery. However, tumor resection is compounded by the need to make a small opening (keyhole) in the skull, and the difficulty of distinguishing normal from diseased tissue in an intraoperative setting. A minimally-invasive robotic system that allows surgeons to directly visualize and accurately discriminate neoplastic (cancer) from non-neoplastic tissue in a real-time intra-operative setting is currently not available, but an ideal gal for NRI. We propose to overcome two major limitations affecting robotically-assisted surgery in a team approach: inability to (1) automatically and (2) optically guide treatments in a miriimally-invasive intraoperative environment with advanced photonics and new cancer biomarkers. Dr. Hannaford will lead the integration of the RAVEN II open hardware and softvvare robotic system with laser-based endoscopic imaging. A single robot arm will hold a standard surgical tool for resecting/removing tumor, and a novel scanning fluorescence and reflectance imaging system to provide the advanced photonics in an ultra-small size. A team of three research neurosurgeons (Drs. Olson, Ellenbogen, Sekhar) will help develop clinically relevant phantoms and biological models of future image-guided brain surgery. PI, Dr. Seibel will provide a new multi-modal scanning fiber endoscope (mmSFE) technology that allows advanced laser imaging, diagnostic, and therapeutic biophotonics approaches to intra-operative keyhole surgery for improved performance and safety.

描述(申请人提供)：完全切除肿瘤组织仍然是癌症患者生存的最重要因素之一。手术切除是最常见的一线癌症治疗方法。脑部肿瘤切除异常困难，因为残留的肿瘤组织会导致存活率下降，而切除正常的健康脑组织会导致终生的神经缺陷。脑外科手术需要非常高的灵巧度，准确的导航，以及长时间的近距离精确切割；因此，它是机器人辅助手术的理想候选者。然而，肿瘤切除还需要在颅骨上开一个小口(锁孔)，而且术中很难区分正常组织和病变组织。一种微创机器人系统，允许外科医生在实时的术中设置中直接可视化并准确区分肿瘤(癌症)和非肿瘤组织，目前尚不存在，但对于NRI来说是一个理想的GAL。我们建议在团队方法中克服影响机器人辅助手术的两个主要限制：无法(1)自动和(2)使用先进的光子学和新的癌症生物标记物在微侵入术中环境中光学指导治疗。Hannaford博士将领导Raven II开放式硬件和软件机器人系统与基于激光的内窥镜成像的集成。单个机械臂将容纳切除/移除肿瘤的标准手术工具，以及新的扫描荧光和反射成像系统，以提供超小尺寸的先进光子学。一个由三名研究神经外科医生(Olson、Ellenbogen、Sekhar博士)组成的团队将帮助开发临床相关的幻影和未来图像引导脑外科手术的生物学模型。Pi，Seibel博士将提供一种新的多模扫描光纤内窥镜(MmSFE)技术，使先进的激光成像、诊断和治疗性生物光子学方法应用于术中锁孔手术，以提高性能和安全性。

项目成果

期刊论文数量（15）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Toward real-time endoscopically-guided robotic navigation based on a 3D virtual surgical field model.

DOI：
10.1117/12.2082872
发表时间：
2015
期刊：
Proceedings of SPIE--the International Society for Optical Engineering
影响因子：
0
作者：
Gong Y;Hu D;Hannaford B;Seibel EJ
通讯作者：
Seibel EJ

Mapping surgical fields by moving a laser-scanning multimodal scope attached to a robot arm.

通过移动连接到机器人手臂的激光扫描多模态示波器来绘制手术区域。

DOI：
10.1117/12.2044165
发表时间：
2014
期刊：
Proceedings of SPIE--the International Society for Optical Engineering
影响因子：
0
作者：
Gong,Yuanzheng;Soper,TimothyD;Hou,VivianW;Hu,Danying;Hannaford,Blake;Seibel,EricJ
通讯作者：
Seibel,EricJ

Optical Characterization of Neurosurgical Operating Microscopes: Quantitative Fluorescence and Assessment of PpIX Photobleaching.

DOI：
10.1038/s41598-018-30247-6
发表时间：
2018-08-22
期刊：
Scientific reports
影响因子：
4.6
作者：
Belykh E;Miller EJ;Patel AA;Bozkurt B;Yağmurlu K;Robinson TR;Nakaji P;Spetzler RF;Lawton MT;Nelson LY;Seibel EJ;Preul MC
通讯作者：
Preul MC

Axial-Stereo 3-D Optical Metrology for Inner Profile of Pipes Using a Scanning Laser Endoscope.