1 March 2011 GPU accelerated registration of a statistical shape model of the lumbar spine to 3D ultrasound images
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Abstract
We present a parallel implementation of a statistical shape model registration to 3D ultrasound images of the lumbar vertebrae (L2-L4). Covariance Matrix Adaptation Evolution Strategy optimization technique, along with Linear Correlation of Linear Combination similarity metric have been used, to improve the robustness and capture range of the registration approach. Instantiation and ultrasound simulation have been implemented on a graphics processing unit for a faster registration. Phantom studies show a mean target registration error of 3.2 mm, while 80% of all the cases yield target registration error of below 3.5 mm.
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Siavash Khallaghi, Siavash Khallaghi, Purang Abolmaesumi, Purang Abolmaesumi, Ren Hui Gong, Ren Hui Gong, Elvis Chen, Elvis Chen, Sean Gill, Sean Gill, Jonathan Boisvert, Jonathan Boisvert, David Pichora, David Pichora, Dan Borschneck, Dan Borschneck, Gabor Fichtinger, Gabor Fichtinger, Parvin Mousavi, Parvin Mousavi, } "GPU accelerated registration of a statistical shape model of the lumbar spine to 3D ultrasound images", Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 79642W (1 March 2011); doi: 10.1117/12.878377; https://doi.org/10.1117/12.878377
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