Evidence map›Paper›PMID 31254179›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Toward real-time rigid registration of intra-operative ultrasound with preoperative CT images for lumbar spinal fusion surgery.

Houssem-Eddine Gueziri, Simon Drouin, Charles X B Yan, D Louis Collins

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Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The lumbar region localization using bone anatomy feature graphs.Medical & biological engineering & computing · 2021
    Article
  5. Article
  6. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Houssem-Eddine GueziriMcConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, WB221, 3801 University Street, Montreal, QC, H3A 2B4, Canada. houssem.gueziri@mcgill.ca.ORCID http://orcid.org/0000-0002-2997-7718
Simon DrouinMcConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, WB221, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
Charles X B YanMcConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, WB221, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
D Louis CollinsMcConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, WB221, 3801 University Street, Montreal, QC, H3A 2B4, Canada.

Funding

Canadian Institute of Health Research 246067Natural Sciences and Engineering Research Council of Canada 396395
6 · The paper itself

Abstract

purposeAccurate and effective registration of the vertebrae is crucial for spine surgical navigation procedures. Patient movement, surgical instrumentation or inadvertent contact with the tracked reference during the intervention may invalidate the registration, requiring a rapid correction of the misalignment. In this paper, we present a framework to rigidly align preoperative computed tomography (CT) with the intra-operative ultrasound (iUS) images of a single vertebra.

methodsWe use a single caudo-cranial axial sweep procedure to acquire iUS images, from which the scan trajectory is exploited to initialize the registration transform. To refine the transform, locations of the posterior vertebra surface are first extracted, then used to compute the CT-to-iUS image intensity gradient-based alignment. The approach was validated on a lumbosacral section of a porcine cadaver.

resultsWe achieved an overall median accuracy of 1.48 mm (success rate of 84.42%) in [Formula: see text] 11 s of computation time, satisfying the clinically accepted accuracy threshold of 2 mm.

conclusionOur approach using intra-operative ultrasound to register patient vertebral anatomy to preoperative images matches the clinical needs in terms of accuracy and computation time, facilitating its integration into the surgical workflow.

Indexed as

AnimalsCadaverIntraoperative PeriodLumbar VertebraeModels, AnimalPreoperative PeriodSpinal FusionSurgery, Computer-AssistedSwineTomography, X-Ray ComputedUltrasonographyComputed tomographyGPU accelerationRegistrationSpine surgeryUltrasoundVertebra

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.