Park Wonhyoung, Abramov Irakliy, On Thomas J, Xu Yuan, Castillo Andrea L, Gonzalez-Romo Nicolas I, Guckler Roland, Preul Mark C
The Loyal and Edith Davis Neurosurgical Research Laboratory, Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, United States.
Carl Zeiss Meditec AG, Jena, Oberkochen, Germany.
Front Surg. 2024 Jun 25;11:1418679. doi: 10.3389/fsurg.2024.1418679. eCollection 2024.
The development of surgical microscope-associated cameras has given rise to a new operating style embodied by hybrid microsurgical and exoscopic operative systems. These platforms utilize specialized camera systems to visualize cranial neuroanatomy at various depths. Our study aims to understand how different camera settings in a novel hybrid exoscope system influence image quality in the context of neurosurgical procedures.
We built an image database using captured cadaveric dissection images obtained with a prototype version of a hybrid (microsurgical/exoscopic) operative platform. We performed comprehensive 4K-resolution image capture using 76 camera settings across three magnification levels and two working distances. Computer algorithms such as structural similarity (SSIM) and mean squared error (MSE) were used to measure image distortion across different camera settings. We utilized a Laplacian filter to compute the overall sharpness of the acquired images. Additionally, a monocular depth estimation deep learning model was used to examine the image's capability to visualize the depth of deeper structures accurately.
A total of 1,368 high-resolution pictures were captured. The SSIM index ranged from 0.63 to 0.85. The MSE was nearly zero for all image batches. It was determined that the exoscope could accurately detect both the sharpness and depth based on the Laplacian filter and depth maps, respectively. Our findings demonstrate that users can utilize the full range of camera settings available on the exoscope, including adjustments to aperture, color saturation, contrast, sharpness, and brilliance, without introducing significant image distortions relative to the standard mode.
The evolution of the camera incorporated into a surgical microscope enables exoscopic visualization during cranial base surgery. Our result should encourage surgeons to take full advantage of the exoscope's extensive range of camera settings to match their personal preferences or specific clinical requirements of the surgical scenario. This places the exoscope as an invaluable asset in contemporary surgical practice, merging high-definition imaging with ergonomic design and adaptable operability.
手术显微镜相关摄像头的发展催生了一种新的手术方式,体现在混合显微手术和外视镜手术系统中。这些平台利用专门的摄像系统在不同深度可视化颅神经解剖结构。我们的研究旨在了解新型混合外视镜系统中不同的摄像头设置在神经外科手术过程中如何影响图像质量。
我们使用通过混合(显微手术/外视镜)手术平台的原型版本获取的尸体解剖图像构建了一个图像数据库。我们在三个放大倍数级别和两个工作距离下使用76种摄像头设置进行了全面的4K分辨率图像采集。使用诸如结构相似性(SSIM)和均方误差(MSE)等计算机算法来测量不同摄像头设置下的图像失真。我们使用拉普拉斯滤波器来计算所采集图像的整体清晰度。此外,使用单目深度估计深度学习模型来检查图像准确可视化更深结构深度的能力。
共采集了1368张高分辨率图片。SSIM指数范围为0.63至0.85。所有图像批次的MSE几乎为零。确定外视镜可以分别基于拉普拉斯滤波器和深度图准确检测清晰度和深度。我们的研究结果表明,用户可以利用外视镜上可用的全部摄像头设置,包括光圈、色彩饱和度、对比度、清晰度和亮度的调整,而不会相对于标准模式引入显著的图像失真。
集成到手术显微镜中的摄像头的发展使得在颅底手术期间能够进行外视镜可视化。我们的结果应鼓励外科医生充分利用外视镜广泛的摄像头设置来匹配他们的个人偏好或手术场景的特定临床要求。这使外视镜成为当代手术实践中的宝贵资产,将高清成像与人体工程学设计和适应性可操作性相结合。