GPU Accelerated Registration of a Statistical Shape Model of the Lumbar Spine to 3D Ultrasound Images

被引：2

作者：

Khallaghi, Siavash ^{[1
]}

Abolmaesumi, Purang ^{[2
]}

Gong, Ren Hui ^{[3
]}

Chen, Elvis ^{[3
]}

Gill, Sean ^{[3
]}

Boisvert, Jonathan ^{[5
]}

Pichora, David ^{[4
]}

Borschneck, Dan ^{[4
]}

Fichtinger, Gabor ^{[3
]}

Mousavi, Parvin ^{[3
]}

机构：

[1] Queens Univ, Dept Elect & Comp Engn, Kingston, ON, Canada

[2] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC, Canada

[3] Queens Univ, Sch Comp, Kingston, ON, Canada

[4] Kingston Gen Hosp, Kingston, ON, Canada

[5] CNR, Ottawa, ON, Canada

来源：

MEDICAL IMAGING 2011: VISUALIZATION, IMAGE-GUIDED PROCEDURES, AND MODELING | 2011年 / 7964卷

关键词：

Graphics Processing Unit; Statistical Shape Model; Ultrasound; Registration; Spine; CT;

D O I：

10.1117/12.878377

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：8

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