Hardware accelerated ray cast of volume data and volume gradient for an optimized splines-based multi-resolution 2D-3D registration

Zhang, Xuan; Zheng, Guoyan (2007). Hardware accelerated ray cast of volume data and volume gradient for an optimized splines-based multi-resolution 2D-3D registration. In: Medical Imaging 2007: Visualization and Image-Guided Procedures. SPIE Proceedings: Vol. 6509 (p. 650938). Bellingham: SPIE 10.1117/12.708203

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This paper describes a method for DRR generation as well as for volume gradients projection using hardware accelerated 2D texture mapping and accumulation buffering and demonstrates its application in 2D-3D registration of X-ray fluoroscopy to CT images. The robustness of the present registration scheme are guaranteed by taking advantage of a coarse-to-fine processing of the volume/image pyramids based on cubic B-splines. A human cadaveric spine specimen together with its ground truth was used to compare the present scheme with a purely software-based scheme in three aspects: accuracy, speed, and capture ranges. Our experiments revealed an equivalent accuracy and capture ranges but with much shorter registration time with the present scheme. More specifically, the results showed 0.8 mm average target registration error, 55 second average execution time per registration, and 10 mm and 10° capture ranges for the present scheme when tested on a 3.0 GHz Pentium 4 computer.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]

UniBE Contributor:

Zhang, Xuan and Zheng, Guoyan

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISBN:

38

Series:

SPIE Proceedings

Publisher:

SPIE

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:57

Last Modified:

08 Jun 2016 10:43

Publisher DOI:

10.1117/12.708203

Web of Science ID:

000247294800115

URI:

https://boris.unibe.ch/id/eprint/24207 (FactScience: 47455)

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