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Proceedings Paper

Graphics processing unit (GPU) implementation of image processing algorithms to improve system performance of the control acquisition, processing, and image display system (CAPIDS) of the micro-angiographic fluoroscope (MAF)
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Paper Abstract

We present the image processing upgrades implemented on a Graphics Processing Unit (GPU) in the Control, Acquisition, Processing, and Image Display System (CAPIDS) for the custom Micro-Angiographic Fluoroscope (MAF) detector. Most of the image processing currently implemented in the CAPIDS system is pixel independent; that is, the operation on each pixel is the same and the operation on one does not depend upon the result from the operation on the other, allowing the entire image to be processed in parallel. GPU hardware was developed for this kind of massive parallel processing implementation. Thus for an algorithm which has a high amount of parallelism, a GPU implementation is much faster than a CPU implementation. The image processing algorithm upgrades implemented on the CAPIDS system include flat field correction, temporal filtering, image subtraction, roadmap mask generation and display window and leveling. A comparison between the previous and the upgraded version of CAPIDS has been presented, to demonstrate how the improvement is achieved. By performing the image processing on a GPU, significant improvements (with respect to timing or frame rate) have been achieved, including stable operation of the system at 30 fps during a fluoroscopy run, a DSA run, a roadmap procedure and automatic image windowing and leveling during each frame.

Paper Details

Date Published: 24 February 2012
PDF: 8 pages
Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83134C (24 February 2012); doi: 10.1117/12.911272
Show Author Affiliations
S. N. Swetadri Vasan, Univ. at Buffalo (United States)
Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
Ciprian N. Ionita, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
A. H. Titus, Univ. at Buffalo (United States)
Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
A. N. Cartwright, Univ. at Buffalo (United States)
Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
D. R. Bednarek, Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)
S. Rudin, Univ. at Buffalo (United States)
Toshiba Stroke Research Ctr., Univ. at Buffalo (United States)


Published in SPIE Proceedings Vol. 8313:
Medical Imaging 2012: Physics of Medical Imaging
Norbert J. Pelc; Robert M. Nishikawa; Bruce R. Whiting, Editor(s)

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