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Surgical Navigation System for Transsphenoidal Pituitary Surgery Applying U-Net-Based Automatic Segmentation and Bendable Devices

Title
Surgical Navigation System for Transsphenoidal Pituitary Surgery Applying U-Net-Based Automatic Segmentation and Bendable Devices
Authors
Song, Hwa-SeobYoon, Hyun-SooLee, SeongpungHong, Chang-KiYi, Byung-Ju
DGIST Authors
Yoon, Hyun-Soo
Issue Date
2019-12
Citation
Applied Sciences, 9(24), 5540
Type
Article
Article Type
Article
Author Keywords
transsphenoidal pituitary surgeryartificial intelligencebendable devicenavigation systemminimally invasive surgeryvirtual reality
Keywords
REGISTRATIONINSTRUMENT
ISSN
2076-3417
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. © 2019 by the authors.
URI
http://hdl.handle.net/20.500.11750/11408
DOI
10.3390/app9245540
Publisher
MDPI AG
Related Researcher
  • Author Yoon, Hyun-Soo  
  • Research Interests Medical robot system, Robot hand, Mechanism design and analysis, Wire-driven mechanism
Files:
Collection:
Division of Intelligent Robot1. Journal Articles


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