Investigating the accuracy of machine vision and augmented reality in percutaneous computed tomography-guided interventions: A phantom study.

Autor: Huang B; Department of Interventional Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.; Department of Interventional Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China., Wei Y; Department of Electrical and Computer Engineering, National University of Singapore, Singapore., Zhang B; Department of Interventional Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.; Department of Interventional Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China., Chen J; Department of Interventional Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.; Department of Interventional Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China., Guo R; Department of Interventional Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.; Department of Interventional Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China., Zhou SZ; Department of Electrical and Computer Engineering, National University of Singapore, Singapore., Lin Z; Department of Information Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.; Department of Information Center, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China., Lin Z; Department of Interventional Radiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.; Department of Interventional Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.; Fujian Provincial Key Laboratory of Precision Medicine for Cancer, Fuzhou, Fujian, China.
Jazyk: angličtina
Zdroj: Journal of cancer research and therapeutics [J Cancer Res Ther] 2024 Aug 01; Vol. 20 (4), pp. 1338-1343. Date of Electronic Publication: 2024 Aug 29.
DOI: 10.4103/jcrt.jcrt_301_24
Abstrakt: Objectives: This study aimed to evaluate the accuracy of percutaneous computed tomography (CT)-guided puncture based on machine vision and augmented reality in a phantom.
Materials and Methods: The surgical space coordinate system was established, and accurate registration was ensured using the hierarchical optimization framework. Machine vision tracking and augmented reality display technologies were used for puncture navigation. CT was performed on a phantom, and puncture paths with three different lengths were planned from the surface of the phantom to the metal ball. Puncture accuracy was evaluated by measuring the target positioning error (TPE), lateral error (LE), angular error (AE), and first success rate (FSR) based on the obtained CT images.
Results: A highly qualified attending interventional physician performed a total of 30 punctures using puncture navigation. For the short distance (4.5-5.5 cm), the TPE, LE, AE, and FSR were 1.90 ± 0.62 mm, 1.23 ± 0.70 mm, 1.39 ± 0.86°, and 60%, respectively. For the medium distance (9.5-10.5 cm), the TPE, LE, AE, and FSR were 2.35 ± 0.95 mm, 2.00 ± 1.07 mm, 1.20 ± 0.62°, and 40%, respectively. For the long distance (14.5-15.5 cm), the TPE, LE, AE, and FSR were 2.81 ± 1.17 mm, 2.33 ± 1.34 mm, 0.99 ± 0.55°, and 30%, respectively.
Conclusion: The augmented reality and machine vision-based CT-guided puncture navigation system allows for precise punctures in a phantom. Further studies are needed to explore its clinical applicability.
(Copyright © 2024 Copyright: © 2024 Journal of Cancer Research and Therapeutics.)
Databáze: MEDLINE
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