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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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.

Original language	English (US)
Title of host publication	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	7964
DOIs	https://doi.org/10.1117/12.878377
State	Published - 2011
Externally published	Yes
Event	Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling - Lake Buena Vista, FL, United States Duration: Feb 13 2011 → Feb 15 2011

Other

Other	Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling
Country/Territory	United States
City	Lake Buena Vista, FL
Period	2/13/11 → 2/15/11

Keywords

Graphics processing unit
Registration
Spine
Statistical shape model
Ultrasound

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials
Biomaterials
Radiology Nuclear Medicine and imaging

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10.1117/12.878377

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Khallaghi, S., Abolmaesumi, P., Gong, R. H., Chen, E., Gill, S., Boisvert, J., Pichora, D., Borschneck, D., Fichtinger, G., & Mousavi, P. (2011). GPU accelerated registration of a statistical shape model of the lumbar spine to 3D ultrasound images. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7964). Article 79642W https://doi.org/10.1117/12.878377

Khallaghi, S, Abolmaesumi, P, Gong, RH, Chen, E, Gill, S, Boisvert, J, Pichora, D, Borschneck, D, Fichtinger, G & Mousavi, P 2011, GPU accelerated registration of a statistical shape model of the lumbar spine to 3D ultrasound images. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 7964, 79642W, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, Lake Buena Vista, FL, United States, 2/13/11. https://doi.org/10.1117/12.878377

@inproceedings{b17928ab2254461db442f218505a9373,

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

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.",

keywords = "Graphics processing unit, Registration, Spine, Statistical shape model, Ultrasound",

author = "Siavash Khallaghi and Purang Abolmaesumi and Gong, {Ren Hui} and Elvis Chen and Sean Gill and Jonathan Boisvert and David Pichora and Dan Borschneck and Gabor Fichtinger and Parvin Mousavi",

year = "2011",

doi = "10.1117/12.878377",

language = "English (US)",

isbn = "9780819485069",

volume = "7964",

booktitle = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

note = "Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling ; Conference date: 13-02-2011 Through 15-02-2011",

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T1 - GPU accelerated registration of a statistical shape model of the lumbar spine to 3D ultrasound images

AU - Khallaghi, Siavash

AU - Abolmaesumi, Purang

AU - Gong, Ren Hui

AU - Chen, Elvis

AU - Gill, Sean

AU - Boisvert, Jonathan

AU - Pichora, David

AU - Borschneck, Dan

AU - Fichtinger, Gabor

AU - Mousavi, Parvin

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Graphics processing unit

KW - Registration

KW - Spine

KW - Statistical shape model

KW - Ultrasound

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DO - 10.1117/12.878377

M3 - Conference contribution

AN - SCOPUS:79955826792

SN - 9780819485069

VL - 7964

BT - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

T2 - Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling

Y2 - 13 February 2011 through 15 February 2011

ER -

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

Abstract

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Keywords

ASJC Scopus subject areas

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