Literature DB >> 34879315

Vision-Based Tracking of Surgical Motion During Live Open-Heart Surgery.

Maj Stenmark1, Edin Omerbašić2, Måns Magnusson2, Viktor Andersson2, Martin Abrahamsson2, Phan-Kiet Tran3.   

Abstract

BACKGROUND: Motion tracking during live surgeries may be used to assess surgeons' intra-operative performance, provide feedback, and predict outcome. Current assessment protocols rely on human observations, controlled laboratory settings, or tracking technologies not suitable for live operating theatres. In this study, a novel method for motion tracking of live open-heart surgery was developed, and evaluated.
MATERIALS AND METHODS: Three-D-printed 'tracking die' with miniature markers were fitted to DeBakey forceps. The surgical field was recorded with a video camera mounted above the operating table. Software was developed for tracking the die from the recordings. The system was tested on five open-heart procedures. Surgeons were asked to report subjective system related concerns during live surgery and assess the weight of the die on blind test. The accuracy of the system was evaluated against ground truth generated by a robot.
RESULTS: The 3D-printed die weighed 6 g and tolerated sterilization with hydrogen peroxide, which added approximately 13% to the mass of the forceps. Surgeons sensed a shift in the balance of the instrument but could on blind test not correctly verify changes in weight. When two or more markers were detected, the 3D position estimate was on average within 2-3 mm, and 1.1-2.6 degrees from ground truth. Computational time was 30-50 ms per frame on a standard laptop.
CONCLUSIONS: The vision-based motion tracking system was applicable for live surgeries with negligible inconvenience to the surgeons. Motion data was extracted with acceptable accuracy and speed at low computational cost.
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Marker-based tracking; Motion tracking; Pose estimation; Surgical performance evaluation

Mesh:

Year:  2021        PMID: 34879315     DOI: 10.1016/j.jss.2021.10.025

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  1 in total

1.  Motion and viewing analysis during minimally invasive surgery for autostereoscopic visualization.

Authors:  Viktor Vörös; Ann-Sophie Page; Jan Deprest; Tom Kimpe; Emmanuel Vander Poorten
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-09-22       Impact factor: 3.421

  1 in total

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