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Phantom validation for ultrasound to statistical shape model registration of human pelvis.

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dc.contributor.author Ghanavati, Sahar
dc.contributor.author Mousavi, Parvin
dc.contributor.author Fichtinger, Gabor
dc.contributor.author Abolmaesumi, Purang
dc.date.accessioned 2011-08-16T19:13:42Z
dc.date.available 2011-08-16T19:13:42Z
dc.date.issued 2011
dc.identifier.citation Ghanavati, Sahar; Mousavi, Parvin; Fichtinger, Gabor; Abolmaesumi, Purang. Phantom validation for ultrasound to statistical shape model registration of human pelvis. Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, edited by Kenneth H. Wong, David R. Holmes III, Proceedings of SPIE, Volume 7964, 79642U, 2011. http://dx.doi.org/10.1117/12.876998 en_US
dc.identifier.uri http://hdl.handle.net/2429/36697
dc.description.abstract Total Hip Replacement (THR) has become a common surgical procedure in recent years, as a result of increasing aging population with osteoarthritis of the hip joint. Localization of the pelvic anatomical coordinate system (PaCS) is a critical step in accurate placement of the femur prosthesis in the acetabulum in THR. Intra-operative ultrasound (US) imaging can provide a radiation-free navigation system for localization of the PaCS. However, US images are noisy and cannot provide any anatomical information beneath the bone surface due to the total reflection of US beam at the bone-soft tissue interface. A solution to this problem is to fuse intra-operative US with pre-operative imaging or a statistical shape model (SSM) of the pelvis. Here, we propose a multi-slice to volume intensity-based registration of the pelvic SSM to a sparse set of 2D US images in order to localize the PaCS in the US. In this registration technique, a set of 2D slices are extracted from a pelvic SSM using the approximate location and orientation of their corresponding 2D US images. During the registration, the comparison between the SSM slices and the US images is made using an ultrasound simulation technique and a correlation-based similarity metric. We demonstrate the feasibility of our proposed approach in localizing the PaCS on five patient-based phantoms. These results indicate the necessity of including pubic symphysis landmarks in the 2D US slices in order to have a precise estimation of the PaCS. en_US
dc.language.iso eng en_US
dc.publisher Society of Photo-Optical Instrumentation Engineers en_US
dc.title Phantom validation for ultrasound to statistical shape model registration of human pelvis. en_US
dc.type text en_US
dc.type.text conference Paper en_US
dc.description.affiliation Electrical and Computer Engineering, Dept of en_US
dc.description.reviewstatus Reviewed en_US
dc.rights.copyright Abolmaesumi, Purang en_US
dc.description.scholarlevel Faculty en_US

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