Navigating the Future of 3D Laparoscopic Liver Surgeries: Visualization of Internal Anatomy on Laparoscopic Images With Augmented Reality.

Moon Young Oh, Kyung Chul Yoon, Seulgi Hyeon, Taesoo Jang, Yeonjin Choi, Junki Kim, Hyoun-Joong Kong, Young Jun Chai
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Abstract

Introduction: Liver tumor resection requires precise localization of tumors and blood vessels. Despite advancements in 3-dimensional (3D) visualization for laparoscopic surgeries, challenges persist. We developed and evaluated an augmented reality (AR) system that overlays preoperative 3D models onto laparoscopic images, offering crucial support for 3D visualization during laparoscopic liver surgeries.

Methods: Anatomic liver structures from preoperative computed tomography scans were segmented using open-source software including 3D Slicer and Maya 2022 for 3D model editing. A registration system was created with 3D visualization software utilizing a stereo registration input system to overlay the virtual liver onto laparoscopic images during surgical procedures. A controller was customized using a modified keyboard to facilitate manual alignment of the virtual liver with the laparoscopic image. The AR system was evaluated by 3 experienced surgeons who performed manual registration for a total of 27 images from 7 clinical cases. The evaluation criteria included registration time; measured in minutes, and accuracy; measured using the Dice similarity coefficient.

Results: The overall mean registration time was 2.4±1.7 minutes (range: 0.3 to 9.5 min), and the overall mean registration accuracy was 93.8%±4.9% (range: 80.9% to 99.7%).

Conclusion: Our validated AR system has the potential to effectively enable the prediction of internal hepatic anatomic structures during 3D laparoscopic liver resection, and may enhance 3D visualization for select laparoscopic liver surgeries.

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引领 3D 腹腔镜肝脏手术的未来:利用增强现实技术将腹腔镜图像上的内部解剖可视化。
简介:肝脏肿瘤切除术需要对肿瘤和血管进行精确定位:肝脏肿瘤切除需要对肿瘤和血管进行精确定位。尽管腹腔镜手术的三维(3D)可视化技术不断进步,但挑战依然存在。我们开发并评估了一种增强现实(AR)系统,它能将术前三维模型叠加到腹腔镜图像上,为腹腔镜肝脏手术的三维可视化提供重要支持:方法:使用开源软件(包括 3D Slicer 和 Maya 2022)对术前计算机断层扫描中的肝脏解剖结构进行分割,以便进行 3D 模型编辑。使用三维可视化软件创建了一个注册系统,利用立体注册输入系统将虚拟肝脏叠加到手术过程中的腹腔镜图像上。使用改良键盘定制了一个控制器,便于手动将虚拟肝脏与腹腔镜图像对齐。3 位经验丰富的外科医生对 AR 系统进行了评估,他们对 7 个临床病例的共 27 幅图像进行了手动配准。评估标准包括以分钟为单位的配准时间和以 Dice 相似系数为单位的准确性:总平均配准时间为 2.4±1.7 分钟(范围:0.3 至 9.5 分钟),总平均配准准确率为 93.8%±4.9%(范围:80.9% 至 99.7%):我们的AR系统经过验证,有望在三维腹腔镜肝脏切除术中有效预测肝脏内部解剖结构,并可增强特定腹腔镜肝脏手术的三维可视化。
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来源期刊
CiteScore
2.00
自引率
10.00%
发文量
103
审稿时长
3-8 weeks
期刊介绍: Surgical Laparoscopy Endoscopy & Percutaneous Techniques is a primary source for peer-reviewed, original articles on the newest techniques and applications in operative laparoscopy and endoscopy. Its Editorial Board includes many of the surgeons who pioneered the use of these revolutionary techniques. The journal provides complete, timely, accurate, practical coverage of laparoscopic and endoscopic techniques and procedures; current clinical and basic science research; preoperative and postoperative patient management; complications in laparoscopic and endoscopic surgery; and new developments in instrumentation and technology.
期刊最新文献
Efficacy of Laparoscopic Left Hemihepatectomy Combined With Choledochoscopic Lithotomy for Complex Intrahepatic Bile Duct Stones and Its Impact on Postoperative Liver Function. Surgical Options for Retained Gallstones After Cholecystectomy. Comparative Analysis of the Safety and Feasibility of Laparoscopic Versus Open Segment 7 Hepatectomy. Minimally Invasive Pauli Parastomal Hernia Repair. Ventral Hernia Repair With a Hybrid Absorbable-permanent Preperitoneal Mesh.
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