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Proceedings Paper

Experimental demonstration of a dynamic bowtie for region-based CT fluence optimization
Author(s): Vance Robinson; Walt Smith; Xue Rui; Zhye Yin; Mingye Wu; Paul Fitzgerald; Bruno De Man
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Paper Abstract

Technology development in Computed Tomography (CT) is driven by clinical needs, for example the need for image quality sufficient for the clinical task, and the need to obtain the required image quality using the lowest possible radiation dose to the patient. One approach to manage dose without compromising image quality is to spatially vary the X-ray flux such that regions of high interest receive more radiation while regions of low interest or regions sensitive to radiation receive less dose. If the region of interest (ROI) is centered at the CT system’s axis of rotation, a simple stationary bowtie mounted between the X-ray tube and the patient is sufficient to reduce the X-ray flux outside the central region. If the ROI is off center, then a dynamic bowtie that can track the ROI as the gantry rotates is preferred. We experimentally demonstrated the dynamic bowtie using a design that is relatively simple, low cost, requires no auxiliary power supply, and can be retrofitted to an existing clinical CT scanner. We installed our prototype dynamic bowtie on a clinical CT scanner, and we scanned a phantom with a pre-selected off-center ROI. The dynamic bowtie reduced the X-ray intensity outside the targeted ROI tenfold. As a result, the reconstructed image shows significantly lower noise within the dynamic bowtie ROI compared to regions outside it. Our preliminary results suggest that a dynamic bowtie could be an effective solution for further reducing CT radiation dose.

Paper Details

Date Published: 22 March 2016
PDF: 6 pages
Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97833G (22 March 2016); doi: 10.1117/12.2216737
Show Author Affiliations
Vance Robinson, GE Global Research (United States)
Walt Smith, GE Global Research (United States)
Xue Rui, GE Global Research (United States)
Zhye Yin, GE Global Research (United States)
Mingye Wu, GE Global Research (China)
Paul Fitzgerald, GE Global Research (United States)
Bruno De Man, GE Global Research (United States)


Published in SPIE Proceedings Vol. 9783:
Medical Imaging 2016: Physics of Medical Imaging
Despina Kontos; Thomas G. Flohr, Editor(s)

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