用于独立显微镜显微手术的基于深度的、运动稳定的显微镜集成光学相干断层扫描体积彩色化

Depth-Based, Motion-Stabilized Colorization of Microscope-Integrated Optical Coherence Tomography Volumes for Microscope-Independent Microsurgery.

作者信息

Bleicher Isaac D, Jackson-Atogi Moseph, Viehland Christian, Gabr Hesham, Izatt Joseph A, Toth Cynthia A

机构信息

Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.

Department of Biomedical Engineering, Duke University, Durham, NC, USA.

出版信息

Transl Vis Sci Technol. 2018 Nov 1;7(6):1. doi: 10.1167/tvst.7.6.1. eCollection 2018 Nov.

Abstract

PURPOSE

We develop and assess the impact of depth-based, motion-stabilized colorization (color) of microscope-integrated optical coherence tomography (MIOCT) volumes on microsurgical performance and ability to interpret surgical volumes.

METHODS

Color was applied in real-time as gradients indicating axial position and stabilized based on calculated center of mass. In a test comparing colorization versus grayscale visualizations of prerecorded intraoperative volumes from human surgery, ophthalmologists ( = 7) were asked to identify retinal membranes, the presence of an instrument, its contact with tissue, and associated deformation of the retina. In a separate controlled trial, trainees ( = 15) performed microsurgical skills without conventional optical visualization and compared colorized versus grayscale MIOCT visualization on a stereoptic screen. Skills included thickness identification, instrument placement, and object manipulation, and were assessed based on time, performance metrics, and confidence.

RESULTS

In intraoperative volume testing, colorization improved ability to differentiate membrane from retina ( < 0.01), correctly identify instrument contact with membrane ( = 0.03), and retinal deformation ( = 0.01). In model microsurgical skills testing, trainees working with colorized volumes were faster ( < 0.01) and more correct ( < 0.01) in assessments of thickness for recessed and elevated objects, were less likely to inadvertently contact a surface when approaching with an instrument ( < 0.01), and uniformly more confident ( < 0.01 for each) in conducting each skill.

CONCLUSIONS

Depth-based colorization enables effective identification of retinal membranes and tissue deformation. In microsurgical skill testing, it improves user efficiency, and confidence in microscope-independent, OCT-guided model surgical maneuvers.

TRANSLATIONAL RELEVANCE

Novel depth-based colorization and stabilization technology improves the use of intraoperative MIOCT.

摘要

目的

我们开发并评估基于深度的、运动稳定的显微镜集成光学相干断层扫描(MIOCT)容积彩色化(彩色)对显微手术性能和解释手术容积能力的影响。

方法

彩色以表示轴向位置的梯度实时应用,并基于计算出的质心进行稳定。在一项比较彩色化与人类手术预录制术中容积的灰度可视化的测试中,眼科医生(n = 7)被要求识别视网膜膜、器械的存在、其与组织的接触以及视网膜的相关变形。在另一项对照试验中,受训人员(n = 15)在没有传统光学可视化的情况下进行显微手术技能操作,并在立体视屏上比较彩色化与灰度MIOCT可视化。技能包括厚度识别、器械放置和物体操作,并根据时间、性能指标和信心进行评估。

结果

在术中容积测试中,彩色化提高了区分膜与视网膜的能力(P < 0.01)、正确识别器械与膜接触的能力(P = 0.03)以及视网膜变形的能力(P = 0.01)。在模型显微手术技能测试中,使用彩色容积的受训人员在评估凹陷和凸起物体的厚度时更快(P < 0.01)且更准确(P < 0.01),在使用器械接近时意外接触表面的可能性更小(P < 0.01),并且在进行每项技能时普遍更有信心(每项P < 0.01)。

结论

基于深度的彩色化能够有效识别视网膜膜和组织变形。在显微手术技能测试中,它提高了用户效率以及对独立于显微镜的、OCT引导的模型手术操作的信心。

转化相关性

新型基于深度的彩色化和稳定技术改善了术中MIOCT的应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8624/6218157/119c6fd3452e/i2164-2591-7-6-1-f01.jpg

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