Literature DB >> 26969718

A Novel Ultrasound-Based Registration for Image-Guided Laparoscopic Liver Ablation.

Matteo Fusaglia1, Pascale Tinguely2, Vanessa Banz2, Stefan Weber3, Huanxiang Lu3.   

Abstract

Background Patient-to-image registration is a core process of image-guided surgery (IGS) systems. We present a novel registration approach for application in laparoscopic liver surgery, which reconstructs in real time an intraoperative volume of the underlying intrahepatic vessels through an ultrasound (US) sweep process. Methods An existing IGS system for an open liver procedure was adapted, with suitable instrument tracking for laparoscopic equipment. Registration accuracy was evaluated on a realistic phantom by computing the target registration error (TRE) for 5 intrahepatic tumors. The registration work flow was evaluated by computing the time required for performing the registration. Additionally, a scheme for intraoperative accuracy assessment by visual overlay of the US image with preoperative image data was evaluated. Results The proposed registration method achieved an average TRE of 7.2 mm in the left lobe and 9.7 mm in the right lobe. The average time required for performing the registration was 12 minutes. A positive correlation was found between the intraoperative accuracy assessment and the obtained TREs. Conclusions The registration accuracy of the proposed method is adequate for laparoscopic intrahepatic tumor targeting. The presented approach is feasible and fast and may, therefore, not be disruptive to the current surgical work flow.
© The Author(s) 2016.

Entities:  

Keywords:  image guidance; laparoscopic ablation; liver; registration

Mesh:

Year:  2016        PMID: 26969718     DOI: 10.1177/1553350616637691

Source DB:  PubMed          Journal:  Surg Innov        ISSN: 1553-3506            Impact factor:   2.058


  3 in total

1.  Laparoscopic image-based navigation for microwave ablation of liver tumors-A multi-center study.

Authors:  Pascale Tinguely; Matteo Fusaglia; Jacob Freedman; Vanessa Banz; Stefan Weber; Daniel Candinas; Henrik Nilsson
Journal:  Surg Endosc       Date:  2017-03-24       Impact factor: 4.584

2.  Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT.

Authors:  João Ramalhinho; Bongjin Koo; Nina Montaña-Brown; Shaheer U Saeed; Ester Bonmati; Kurinchi Gurusamy; Stephen P Pereira; Brian Davidson; Yipeng Hu; Matthew J Clarkson
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-04-02       Impact factor: 3.421

3.  Vessel segmentation for automatic registration of untracked laparoscopic ultrasound to CT of the liver.

Authors:  Nina Montaña-Brown; João Ramalhinho; Moustafa Allam; Brian Davidson; Yipeng Hu; Matthew J Clarkson
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-05-27       Impact factor: 2.924

  3 in total

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