Open-source software for ultrasound-based guidance in spinal fusion surgery.
Spinal instrumentation and surgical manipulations may cause loss of navigation accuracy requiring an efficient re-alignment of the patient anatomy with pre-operative images during surgery. While intra-operative ultrasound (iUS) guidance has shown clear potential to reduce surgery time, compared with...
| Publicado en: | Ultrasound in Medicine & Biology Vol. 46; no. 12; pp. 3353 - 3369 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Dec2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=146559746&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146559746 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03015629 JJ6 jtl: Ultrasound in Medicine & Biology issn: 03015629 maglogo: N pubinfo: dt: Dec2020 vid: 46 iid: 12 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 146559746 146559746 NLM32907772 146559746 10.1016/j.ultrasmedbio.2020.08.005 NLM32907772 146559746 ppf: 3353 ppct: 16 formats: tig: atl: Open-source software for ultrasound-based guidance in spinal fusion surgery. aug: au: Gueziri, Houssem-Eddine Yan, Charles X.B. Collins, D. Louis affil: McConnell Brain Imaging Center, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada sug: subj: Spine Software Spinal Fusion Methods Ultrasonography Surgery, Computer-Assisted Animal Studies Swine Comparative Studies Multicenter Studies Evaluation Research Validation Studies ab: Spinal instrumentation and surgical manipulations may cause loss of navigation accuracy requiring an efficient re-alignment of the patient anatomy with pre-operative images during surgery. While intra-operative ultrasound (iUS) guidance has shown clear potential to reduce surgery time, compared with clinical computed tomography (CT) guidance, rapid registration aiming to correct for patient misalignment has not been addressed. In this article, we present an open-source platform for pedicle screw navigation using iUS imaging. The alignment method is based on rigid registration of CT to iUS vertebral images and has been designed for fast and fully automatic patient re-alignment in the operating room. Two steps are involved: first, we use the iUS probe's trajectory to achieve an initial coarse registration; then, the registration transform is refined by simultaneously optimizing gradient orientation alignment and mean of iUS intensities passing through the CT-defined posterior surface of the vertebra. We evaluated our approach on a lumbosacral section of a porcine cadaver with seven vertebral levels. We achieved a median target registration error of 1.47 mm (100% success rate, defined by a target registration error <2 mm) when applying the probe's trajectory initial alignment. The approach exhibited high robustness to partial visibility of the vertebra with success rates of 89.86% and 88.57% when missing either the left or right part of the vertebra and robustness to initial misalignments with a success rate of 83.14% for random starts within ±20° rotation and ±20 mm translation. Our graphics processing unit implementation achieves an efficient registration time under 8 s, which makes the approach suitable for clinical application. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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