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Surgical Endoscopy

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01-03-2005 | Original article

Ultrasound-to-computer-tomography registration for image-guided laparoscopic liver surgery

Authors: P. Bao, J. Warmath, R. Galloway Jr., A. Herline

Published in: Surgical Endoscopy | Issue 3/2005

Abstract

Background

The application of image-guided surgery (IGS) to laparoscopic liver resection and ablation is currently limited, but it would assist in intraoperative decision making regarding oncologic margins, ablation probe placement, and ablation tracking.

Methods

Eight spherical surface targets on a liver phantom were imaged with an optically tracked laparoscopic ultrasound (US) probe. Ten US images of each target were registered to computer tomography (CT) images of the phantoms and then mapped to the CT scans. Accuracy of the registration was assessed by comparing the distance between the predicted target location and the position obtained directly from CT.

Results

The average localization error was 5.3 mm. The errors resulted primarily from inaccurate US probe tracking but were otherwise insensitive to the variability that arises from manually identifying targets in US and CT images.

Conclusions

The results obtained for US-to-CT registration in a phantom model suggest that further investigations into its clinical use are warranted and that other IGS technologies could be applied to laparoscopic liver surgery as well.

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Title: Ultrasound-to-computer-tomography registration for image-guided laparoscopic liver surgery
Authors: P. Bao
J. Warmath
R. Galloway Jr.
A. Herline
Publication date: 01-03-2005
Publisher: Springer-Verlag
Published in: Surgical Endoscopy / Issue 3/2005
Print ISSN: 0930-2794
Electronic ISSN: 1432-2218
DOI: https://doi.org/10.1007/s00464-004-8902-1

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Ultrasound-to-computer-tomography registration for image-guided laparoscopic liver surgery

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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