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.
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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Who cites it
6 citing papers in PubMed.
- Mixed reality navigation system for ultrasound-guided and fusion biopsies using markerless instrument tracking.Scientific reports · 2026Article
- Evaluation of UNeXt for Automatic Bone Surface Segmentation on Ultrasound Imaging in Image-Guided Pediatric Surgery.Bioengineering (Basel, Switzerland) · 2025Article
- Wearable Mechatronic Ultrasound-integrated AR Navigation System for Lumbar Puncture Guidance.IEEE transactions on medical robotics and bionics · 2023Article
- The lumbar region localization using bone anatomy feature graphs.Medical & biological engineering & computing · 2021Article
- Evaluation of an Ultrasound-Based Navigation System for Spine Neurosurgery: A Porcine Cadaver Study.Frontiers in oncology · 2021Article
- Cross-Modality Registration using Bone Surface Pointcloud for Robotic Ultrasound-Guided Spine Surgery.Journal of medical robotics researchArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
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.
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