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A System for Ultrasound-Guided Spinal Injections: A Feasibility Study

  • Conference paper
Information Processing in Computer-Assisted Interventions (IPCAI 2014)

Abstract

Facet joint injections of analgesic agents are widely used to treat patients with lower back pain, a growing problem in the adult population. The current standard-of-care for guiding the injection is fluoroscopy, but has significant drawbacks, including the significant dose of ionizing radiation. As an alternative, several ultrasound-guidance systems have been recently proposed, but have not become the standard-of-care mainly because of the difficulty in image interpretation by anesthesiologists unfamiliar with complex spinal sonography. A solution is to register a statistical spine model, learned from pre-operative images such as MRI or CT over a range of population, to the ultrasound images and display as an overlay. In particular, we introduce an ultrasound-based navigation system where the workflow is divided into two steps. Initially, prior to the injection, tracked freehand ultrasound images are acquired from the facet joint and its surrounding vertebrae. The statistical model is then instantiated and registered to those images. Next, the real-time ultrasound images are augmented with the registered model to guide the injection. Feasibility experiments are performed on ultrasound data obtained from nine patients who had prior CT images as the gold-standard for the statistical model. We present three ultrasound scanning protocols for ultrasound acquisition and quantify the error of our model.

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Rasoulian, A. et al. (2014). A System for Ultrasound-Guided Spinal Injections: A Feasibility Study. In: Stoyanov, D., Collins, D.L., Sakuma, I., Abolmaesumi, P., Jannin, P. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2014. Lecture Notes in Computer Science, vol 8498. Springer, Cham. https://doi.org/10.1007/978-3-319-07521-1_10

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  • DOI: https://doi.org/10.1007/978-3-319-07521-1_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07520-4

  • Online ISBN: 978-3-319-07521-1

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