Publication

Hanyang University HumanRobotics Lab

International Journal
Surgical Navigation System for Transsphenoidal Pituitary Surgery Applying U-Net-Based Automatic Segmentation and Bendable Devices
Journal
Applied Sciences
Vol
Vol. 9, No. 24
Page
pp. 5540-5563
Author
H.-S. Song, H.-S. Yoon, S. Lee, C.-K. Hong, and B.-J. Yi
Year
2019
Date
2019.12
File
applsci-09-05540-v2.pdf (13.3M) 2회 다운로드 DATE : 2020-10-18 17:35:25
Abstract: Conventional navigation systems used in transsphenoidal pituitary surgery have limitations that may lead to organ damage, including long image registration time, absence of alarms when approaching vital organs and lack of 3-D model information. To resolve the problems of conventional navigation systems, this study proposes a U-Net-based, automatic segmentation algorithm for optical nerves and internal carotid arteries, by training patient computed tomography angiography images. The authors have also developed a bendable endoscope and surgical tool to eliminate blind regions that occur when using straight, rigid, conventional endoscopes and surgical tools during transsphenoidal pituitary surgery. In this study, the effectiveness of a U-Net-based navigation system integrated with bendable surgical tools and a bendable endoscope has been demonstrated through phantom-based experiments. In order to measure the U-net performance, the Jaccard similarity, recall and precision were calculated. In addition, the fiducial and target registration errors of the navigation system and the accuracy of the alarm warning functions were measured in the phantom-based environment.