Paper
13 March 2009 Interactive GPU-accelerated image reconstruction in cone-beam CT
Lars Hillebrand, Robert M. Lapp, Yiannis Kyriakou, Willi A. Kalender
Author Affiliations +
Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 72582A (2009) https://doi.org/10.1117/12.812213
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
We offer a novel approach for real-time CT reconstruction with the possibility of interactively changing parameters like the position and orientation of the slice to arbitrary values by the user during the analysis. To achieve this, a new reconstruction, including backprojection, is done every time the user wants to see a different view (in contrast to computing a volume upfront). The reconstruction was implemented on a GPU (graphics processing unit) using OpenGL and provides near real-time performance with less than 20 ms reconstruction time for 512 × 512 images. With this approach the user is free to change parameters that are fixed when a conventional reconstruction is used. So he is free to set the position of the slice, its orientation and the voxel size to arbitrary values, or to select a different set of projections for a cardiac reconstruction. Thus the waiting time for the volume reconstruction is removed. Therefore our method is esp. promising for applications such as intra-operative CT and interventional CT.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lars Hillebrand, Robert M. Lapp, Yiannis Kyriakou, and Willi A. Kalender "Interactive GPU-accelerated image reconstruction in cone-beam CT", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72582A (13 March 2009); https://doi.org/10.1117/12.812213
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CITATIONS
Cited by 6 scholarly publications and 1 patent.
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KEYWORDS
Computed tomography

Sensors

Image restoration

OpenGL

CT reconstruction

Image processing

Graphics processing units

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