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Eulerian Motion Magnification during Robot-Assisted Surgery

Klitsie, M.A.J. (2015) Eulerian Motion Magnification during Robot-Assisted Surgery.

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Abstract:Introduction This research focuses on the use of Eulerian Motion Magni�cation (EMM) in robot-assisted laparoscopic procedures. The aim of this speci�c study is to show the feasibility of the intra-operative artery localisation (IOAL) using the Eulerian approach to motion enhancement. The following hypotheses are tested in this study: EMM will help the surgeon �nd arteries in less time and with more certainty, thus making laparoscopic procedures more e�cient and be of clinical added value. In addition, we expect phase-based EMM to perform better than linear EMM. In contrast, if the artery and with it the plane of dissection is not quickly and correctly visualised, it will increase the chance of major complications. Method and materials The research consisted of a clinical and a technical part. The clinical added value of using EMM during IOAL was veri�ed in qualitative research among surgeons with robot-assisted experience. The technical feasibility was veri�ed using several synthetic video sequences. Finally, the in-vivo feasibility was veri�ed by performing EMM on image sequences recorded during several robot-assisted procedures. Results In general and urologic robot-assisted surgery the procedures in which EMM could be bene�cial is the (1-2) robotic rectum resection (both LAR and APR) during complex cases, (3) the robot-assisted partial nephrectomy (RAPN), (4) the nerve-sparing robot-assisted laparoscopic radical prostatectomy (RARP) to visualise the neurovascular bundles and (5) robot-assisted laparoscopic pyeloplasty (RALP) to identify lower-pole crossing vessels. EMM is a technically feasible imaging enhancement technique to magnify arteries in-vivo. Conclusion EMM during robot-assisted surgery is technically possible and can enhance arteries in-vivo under a layer of fat, but under very strict conditions. These conditions are inherent to EMM, and therefore are the limiting factor in the application of EMM as augmented reality during robot-assisted surgery.
Item Type:Essay (Master)
MIT, Boston, USA
Faculty:TNW: Science and Technology
Subject:44 medicine
Programme:Technical Medicine MSc (60033)
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