The state-of-the-art in ultrasound-guided spine interventions.

Autor: Gueziri HE; McConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, Montreal (QC), Canada; McGill University, Montreal (QC), Canada. Electronic address: houssem.gueziri@mcgill.ca., Santaguida C; Department of Neurology and Neurosurgery, McGill University Health Center, Montreal (QC), Canada., Collins DL; McConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, Montreal (QC), Canada; McGill University, Montreal (QC), Canada.
Jazyk: angličtina
Zdroj: Medical image analysis [Med Image Anal] 2020 Oct; Vol. 65, pp. 101769. Date of Electronic Publication: 2020 Jun 26.
DOI: 10.1016/j.media.2020.101769
Abstrakt: During the last two decades, intra-operative ultrasound (iUS) imaging has been employed for various surgical procedures of the spine, including spinal fusion and needle injections. Accurate and efficient registration of pre-operative computed tomography or magnetic resonance images with iUS images are key elements in the success of iUS-based spine navigation. While widely investigated in research, iUS-based spine navigation has not yet been established in the clinic. This is due to several factors including the lack of a standard methodology for the assessment of accuracy, robustness, reliability, and usability of the registration method. To address these issues, we present a systematic review of the state-of-the-art techniques for iUS-guided registration in spinal image-guided surgery (IGS). The review follows a new taxonomy based on the four steps involved in the surgical workflow that include pre-processing, registration initialization, estimation of the required patient to image transformation, and a visualization process. We provide a detailed analysis of the measurements in terms of accuracy, robustness, reliability, and usability that need to be met during the evaluation of a spinal IGS framework. Although this review is focused on spinal navigation, we expect similar evaluation criteria to be relevant for other IGS applications.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2020 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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