17 February 2012 Probabilistic registration of an unbiased statistical shape model to ultrasound images of the spine
Author Affiliations +
The placement of an epidural needle is among the most difficult regional anesthetic techniques. Ultrasound has been proposed to improve success of placement. However, it has not become the standard-of-care because of limitations in the depictions and interpretation of the key anatomical features. We propose to augment the ultrasound images with a registered statistical shape model of the spine to aid interpretation. The model is created with a novel deformable group-wise registration method which utilizes a probabilistic approach to register groups of point sets. The method is compared to a volume-based model building technique and it demonstrates better generalization and compactness. We instantiate and register the shape model to a spine surface probability map extracted from the ultrasound images. Validation is performed on human subjects. The achieved registration accuracy (2-4 mm) is sufficient to guide the choice of puncture site and trajectory of an epidural needle.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abtin Rasoulian, Abtin Rasoulian, Robert N. Rohling, Robert N. Rohling, Purang Abolmaesumi, Purang Abolmaesumi, } "Probabilistic registration of an unbiased statistical shape model to ultrasound images of the spine", Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 83161P (17 February 2012); doi: 10.1117/12.911742; https://doi.org/10.1117/12.911742

Back to Top