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Probabilistic registration of an unbiased statistical shape model to ultrasound images of the spine.

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Title: Probabilistic registration of an unbiased statistical shape model to ultrasound images of the spine.
Author: Rasoulian, Abtin; Rohling, Robert N.; Abolmaesumi, Purang
Issue Date: 2012
Publicly Available in cIRcle 2012-03-05
Publisher Society of Photo-Optical Instrumentation Engineers
Citation: Rasoulian, Abtin; Rohling, Robert N.; Abolmaesumi, Purang. Probabilistic registration of an unbiased statistical shape model to ultrasound images of the spine. Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, edited by David R. Holmes III, Kenneth H. Wong Proceedings of SPIE, Volume 8316, 83161P, 2012. http://dx.doi.org/10.1117/12.911742
Abstract: 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. Copyright 2012 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Affiliation: Electrical and Computer Engineering, Dept ofMechanical Engineering, Dept of
URI: http://hdl.handle.net/2429/41145
Peer Review Status: Reviewed
Scholarly Level: Faculty

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