LogoTeluq
Français
Logo
Open access research
publication repository

Toward real-time rigid registration of intra-operative ultrasound with preoperative CT images for lumbar spinal fusion surgery [r-libre/3123]

Gueziri, Houssem-Eddine; Drouin, Simon; Yan, X B Charles, & Collins, D Louis (2019). Toward real-time rigid registration of intra-operative ultrasound with preoperative CT images for lumbar spinal fusion surgery. International Journal of Computer Assisted Radiology and Surgery, 14, 1933-1943. https://doi.org/10.1007/s11548-019-02020-1

File(s) available for this item:
[img]  PDF - IJCARS_Vertebra_registration_camera-ready.pdf
License : Creative Commons Attribution.
 
Item Type: Journal Articles
Refereed: Yes
Status: Published
Abstract: Purpose Accurate 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. Methods We 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. Results We achieved an overall median accuracy of 1.48 mm (success rate of 84.42%) in ~11 s of computation time, satisfying the clinically accepted accuracy threshold of 2 mm. Conclusion Our 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.
Official URL: https://doi.org/10.1007/s11548-019-02020-1
Depositor: GUEZIRI, Houssem
Owner / Manager: Houssem Gueziri
Deposited: 14 Dec 2023 21:30
Last Modified: 14 Dec 2023 21:30

Actions (login required)

RÉVISER RÉVISER