| DOI | Resolve DOI: https://doi.org/10.1117/12.878377 |
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| Author | Search for: Khallaghi, S.; Search for: Abolmaesumi, P.; Search for: Gong, R.H.; Search for: Chen, E.; Search for: Gill, S.; Search for: Boisvert, J.1; Search for: Pichora, D.; Search for: Borschneck, D.; Search for: Fichtinger, G.; Search for: Mousavi, P. |
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| Affiliation | - National Research Council of Canada
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| Format | Text, Article |
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| Conference | SPIE Medical Imaging, February 13-15, 2011, Lake Buena Vista, Florida, USA |
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| Subject | graphics processing unit; registration; spine; statistical shape model; ultrasound; computer graphics equipment; covariance matrix; evolutionary algorithms; medical imaging; program processors; ultrasonic applications; ultrasonics; visualization; three dimensional |
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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. © 2011 SPIE. |
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| Publication date | 2011 |
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| Publisher | SPIE |
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| In | |
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| Series | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21271679 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | a74c2990-6953-4157-bdc0-6981154762e3 |
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| Record created | 2014-03-24 |
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| Record modified | 2020-04-21 |
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