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GPU-Based 3D Cone-Beam CT Image Reconstruction for Large Data Volume
Joint Authors
Hu, Jing-jing
Zhang, Peng
Zhao, Xing
Source
International Journal of Biomedical Imaging
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-08-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Currently, 3D cone-beam CT image reconstruction speed is still a severe limitation for clinical application.
The computational power of modern graphics processing units (GPUs) has been harnessed to provide impressive acceleration of 3D volume image reconstruction.
For extra large data volume exceeding the physical graphic memory of GPU, a straightforward compromise is to divide data volume into blocks.
Different from the conventional Octree partition method, a new partition scheme is proposed in this paper.
This method divides both projection data and reconstructed image volume into subsets according to geometric symmetries in circular cone-beam projection layout, and a fast reconstruction for large data volume can be implemented by packing the subsets of projection data into the RGBA channels of GPU, performing the reconstruction chunk by chunk and combining the individual results in the end.
The method is evaluated by reconstructing 3D images from computer-simulation data and real micro-CT data.
Our results indicate that the GPU implementation can maintain original precision and speed up the reconstruction process by 110–120 times for circular cone-beam scan, as compared to traditional CPU implementation.
American Psychological Association (APA)
Zhao, Xing& Hu, Jing-jing& Zhang, Peng. 2009. GPU-Based 3D Cone-Beam CT Image Reconstruction for Large Data Volume. International Journal of Biomedical Imaging،Vol. 2009, no. 2009, pp.1-8.
https://search.emarefa.net/detail/BIM-449670
Modern Language Association (MLA)
Zhao, Xing…[et al.]. GPU-Based 3D Cone-Beam CT Image Reconstruction for Large Data Volume. International Journal of Biomedical Imaging No. 2009 (2009), pp.1-8.
https://search.emarefa.net/detail/BIM-449670
American Medical Association (AMA)
Zhao, Xing& Hu, Jing-jing& Zhang, Peng. GPU-Based 3D Cone-Beam CT Image Reconstruction for Large Data Volume. International Journal of Biomedical Imaging. 2009. Vol. 2009, no. 2009, pp.1-8.
https://search.emarefa.net/detail/BIM-449670
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-449670