GPU accelerated registration of a statistical shape model of the lumbar spine to 3D ultrasound images

Siavash Khallaghi; Purang Abolmaesumi; Ren Hui Gong; Elvis Chen; Sean Gill; Jonathan Boisvert; David Pichora; Dan Borschneck; Gabor Fichtinger; Parvin Mousavi

doi:10.1117/12.878377

1 March 2011 GPU accelerated registration of a statistical shape model of the lumbar spine to 3D ultrasound images

Siavash Khallaghi, Purang Abolmaesumi, Ren Hui Gong, Elvis Chen, Sean Gill, Jonathan Boisvert, David Pichora, Dan Borschneck, Gabor Fichtinger, Parvin Mousavi

Author Affiliations +

Proceedings Volume 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling; 79642W (2011) https://doi.org/10.1117/12.878377
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

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, Purang Abolmaesumi, Ren Hui Gong, Elvis Chen, Sean Gill, Jonathan Boisvert, David Pichora, Dan Borschneck, Gabor Fichtinger, and 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); https://doi.org/10.1117/12.878377

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