Feasibility of Augmented Reality-Guided Transjugular Intrahepatic Portosystemic Shunt.


Journal

Journal of vascular and interventional radiology : JVIR
ISSN: 1535-7732
Titre abrégé: J Vasc Interv Radiol
Pays: United States
ID NLM: 9203369

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 30 03 2020
revised: 14 07 2020
accepted: 16 07 2020
entrez: 2 12 2020
pubmed: 3 12 2020
medline: 22 12 2020
Statut: ppublish

Résumé

To investigate an augmented reality (AR)-guided endovascular puncture to facilitate successful transjugular intrahepatic portosystemic shunt (TIPS). An AR navigation system for TIPS was designed. Three-dimensional (3D) liver models including portal and hepatic vein anatomy were extracted from preoperative CT images. The 3D models, intraoperative subjects, and electromagnetic tracking information of the puncture needles were integrated through the system calibration. In the AR head-mounted display, the 3D models were overlaid on the subjects, which was a liver phantom in the first phase and live beagle dogs in the second phase. One life-size liver phantom and 9 beagle dogs were used in the experiments. Imaging after puncture was performed to validate whether the needle tip accessed the target hepatic vein successfully. Endovascular punctures of the portal vein of the liver phantom were repeated 30 times under the guidance of the AR system, and the puncture needle successfully accessed the target vein during each attempt. In the experiments of live canine subjects, the punctures were successful in 2 attempts in 7 beagle dogs and in 1 attempt in the remaining 2 dogs. The puncture time of needle from hepatic vein to portal vein was 5-10 s in the phantom experiments and 10-30 s in the canine experiments. The feasibility of AR-based navigation facilitating accurate and successful portal vein access in preclinical models of TIPS was validated.

Identifiants

pubmed: 33261744
pii: S1051-0443(20)30624-2
doi: 10.1016/j.jvir.2020.07.025
pii:
doi:

Types de publication

Journal Article Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Pagination

2098-2103

Informations de copyright

Copyright © 2020 SIR. Published by Elsevier Inc. All rights reserved.

Auteurs

Jian Yang (J)

Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.

Jianjun Zhu (J)

Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.

Daniel Y Sze (DY)

Division of Interventional Radiology, Stanford University School of Medicine, Palo Alto, California.

Li Cui (L)

Department of Interventional Radiology, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing 100853, China.

Xiaohui Li (X)

Department of Interventional Radiology, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing 100853, China.

Yanhua Bai (Y)

Department of Interventional Radiology, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing 100853, China.

Danni Ai (D)

Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.

Jingfan Fan (J)

Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.

Hong Song (H)

School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China.

Feng Duan (F)

Department of Interventional Radiology, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing 100853, China. Electronic address: duanfeng@vip.sina.com.

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Classifications MeSH