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Locally rigid, vessel-based registration for laparoscopic liver surgery.

Identifieur interne : 000321 ( PubMed/Corpus ); précédent : 000320; suivant : 000322

Locally rigid, vessel-based registration for laparoscopic liver surgery.

Auteurs : Yi Song ; Johannes Totz ; Steve Thompson ; Stian Johnsen ; Dean Barratt ; Crispin Schneider ; Kurinchi Gurusamy ; Brian Davidson ; Sébastien Ourselin ; David Hawkes ; Matthew J. Clarkson

Source :

RBID : pubmed:26092658

Abstract

Laparoscopic liver resection has significant advantages over open surgery due to less patient trauma and faster recovery times, yet is difficult for most lesions due to the restricted field of view and lack of haptic feedback. Image guidance provides a potential solution but is challenging in a soft deforming organ such as the liver. In this paper, we therefore propose a laparoscopic ultrasound (LUS) image guidance system and study the feasibility of a locally rigid registration for laparoscopic liver surgery.

DOI: 10.1007/s11548-015-1236-8
PubMed: 26092658

Links to Exploration step

pubmed:26092658

Le document en format XML

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<div type="abstract" xml:lang="en">Laparoscopic liver resection has significant advantages over open surgery due to less patient trauma and faster recovery times, yet is difficult for most lesions due to the restricted field of view and lack of haptic feedback. Image guidance provides a potential solution but is challenging in a soft deforming organ such as the liver. In this paper, we therefore propose a laparoscopic ultrasound (LUS) image guidance system and study the feasibility of a locally rigid registration for laparoscopic liver surgery.</div>
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<AbstractText Label="PURPOSE" NlmCategory="OBJECTIVE">Laparoscopic liver resection has significant advantages over open surgery due to less patient trauma and faster recovery times, yet is difficult for most lesions due to the restricted field of view and lack of haptic feedback. Image guidance provides a potential solution but is challenging in a soft deforming organ such as the liver. In this paper, we therefore propose a laparoscopic ultrasound (LUS) image guidance system and study the feasibility of a locally rigid registration for laparoscopic liver surgery.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We developed a real-time segmentation method to extract vessel centre points from calibrated, freehand, electromagnetically tracked, 2D LUS images. Using landmark-based initial registration and an optional iterative closest point (ICP) point-to-line registration, a vessel centre-line model extracted from preoperative computed tomography (CT) is registered to the ultrasound data during surgery.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Using the locally rigid ICP method, the RMS residual error when registering to a phantom was 0.7 mm, and the mean target registration error (TRE) for two in vivo porcine studies was 3.58 and 2.99 mm, respectively. Using the locally rigid landmark-based registration method gave a mean TRE of 4.23 mm using vessel centre lines derived from CT scans taken with pneumoperitoneum and 6.57 mm without pneumoperitoneum.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">In this paper we propose a practical image-guided surgery system based on locally rigid registration of a CT-derived model to vascular structures located with LUS. In a physical phantom and during porcine laparoscopic liver resection, we demonstrate accuracy of target location commensurate with surgical requirements. We conclude that locally rigid registration could be sufficient for practically useful image guidance in the near future.</AbstractText>
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