Suppr超能文献

立体视觉在脊柱手术野术中配准中的应用:一项人体可行性研究。

Use of Stereovision for Intraoperative Coregistration of a Spinal Surgical Field: A Human Feasibility Study.

机构信息

Division of Neurosurgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.

Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire.

出版信息

Oper Neurosurg (Hagerstown). 2018 Jan 1;14(1):29-35. doi: 10.1093/ons/opx132.

Abstract

BACKGROUND

The use of image guidance during spinal surgery has been limited by several anatomic factors such as intervertebral segment motion and ineffective spine immobilization. In its current form, the surgical field is coregistered with a preoperative computed tomography (CT), often obtained in a different spinal confirmation, or with intraoperative cross-sectional imaging. Stereovision offers an alternative method of registration.

OBJECTIVE

To demonstrate the feasibility of stereovision-mediated coregistration of a human spinal surgical field using a proof-of-principle study, and to provide preliminary assessments of the technique's accuracy.

METHODS

A total of 9 subjects undergoing image-guided pedicle screw placement also underwent stereovision-mediated coregistration with preoperative CT imaging. Stereoscopic images were acquired using a tracked, calibrated stereoscopic camera system mounted on an operating microscope. Images were processed, reconstructed, and segmented in a semi-automated manner. A multistart registration of the reconstructed spinal surface with preoperative CT was performed. Registration accuracy, measured as surface-to-surface distance error, was compared between stereovision registration and a standard registration.

RESULTS

The mean surface reconstruction error of the stereovision-acquired surface was 2.20 ± 0.89 mm. Intraoperative coregistration with stereovision was performed with a mean error of 1.48 ± 0.35 mm compared to 2.03 ± 0.28 mm using a standard point-based registration method. The average computational time for registration with stereovision was 95 ± 46 s (range 33-184 s) vs 10to 20 min for standard point-based registration.

CONCLUSION

Semi-automated registration of a spinal surgical field using stereovision is possible with accuracy that is at least comparable to current landmark-based techniques.

摘要

背景

在脊柱手术中使用图像引导受到了一些解剖因素的限制,如椎间节段运动和脊柱固定无效。目前,手术区域与术前计算机断层扫描(CT)进行配准,通常是在不同的脊柱确认下进行,或者与术中的横截面成像进行配准。立体视觉提供了一种替代的配准方法。

目的

通过原理验证研究,证明使用立体视觉介导人体脊柱手术区域配准的可行性,并对该技术的准确性进行初步评估。

方法

共有 9 名接受图像引导的椎弓根螺钉植入术的患者也接受了术前 CT 成像的立体视觉介导配准。使用安装在手术显微镜上的经过跟踪和校准的立体相机系统获取立体图像。通过半自动方式处理、重建和分割图像。对重建的脊柱表面与术前 CT 进行多起点配准。将立体视觉配准和标准配准的表面到表面距离误差进行比较,以衡量配准精度。

结果

立体视觉获取的表面的平均表面重建误差为 2.20±0.89mm。与使用标准基于点的配准方法相比,术中使用立体视觉进行的核心配准的平均误差为 1.48±0.35mm。使用立体视觉进行配准的平均计算时间为 95±46s(范围 33-184s),而标准基于点的配准方法的平均计算时间为 10 到 20 分钟。

结论

使用立体视觉对脊柱手术区域进行半自动配准是可行的,其准确性至少与当前基于标志点的技术相当。

相似文献

9
Alternative radiation-free registration technique for image-guided pedicle screw placement in deformed cervico-thoracic segments.
J Neurosurg Sci. 2017 Oct;61(5):464-472. doi: 10.23736/S0390-5616.16.03311-7. Epub 2015 Sep 2.

本文引用的文献

2
A compact active stereovision system with dynamic reconfiguration for endoscopy or colonoscopy applications.
Med Image Comput Comput Assist Interv. 2014;17(Pt 1):448-55. doi: 10.1007/978-3-319-10404-1_56.
6
Evaluation of the 3-dimensional endoscope in transsphenoidal surgery.三维内镜在经蝶窦手术中的评估
Neurosurgery. 2013 Sep;73(1 Suppl Operative):ons74-8; discussion ons78-9. doi: 10.1227/NEU.0b013e31828ba962.
7
Cortical surface strain estimation using stereovision.使用立体视觉估计皮质表面应变
Med Image Comput Comput Assist Interv. 2011;14(Pt 1):412-9. doi: 10.1007/978-3-642-23623-5_52.
8
O-scanner: real-time imaging in the OR.
OR Manager. 2008 Dec;24(12):10-2.
9
Stereopsis-guided brain shift compensation.立体视觉引导的脑移位补偿。
IEEE Trans Med Imaging. 2005 Aug;24(8):1039-52. doi: 10.1109/TMI.2005.852075.
10
Cortical surface tracking using a stereoscopic operating microscope.使用立体手术显微镜进行皮质表面追踪。
Neurosurgery. 2005 Jan;56(1 Suppl):86-97; discussion 86-97. doi: 10.1227/01.neu.0000146263.98583.cc.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验