Characterization of scatter magnitude and distribution in dedicated breast computed tomography with bowtie filters

Kimberly Kontson; Robert J. Jennings

doi:10.1117/1.JMI.1.3.033505

18 December 2014 Characterization of scatter magnitude and distribution in dedicated breast computed tomography with bowtie filters

Kimberly Kontson, Robert J. Jennings

Author Affiliations +

Journal of Medical Imaging, Vol. 1, Issue 3, 033505 (December 2014). https://doi.org/10.1117/1.JMI.1.3.033505

Abstract

Scatter contamination of projection images in cone-beam computed tomography (CT) degrades the image quality. The use of bowtie filters in dedicated breast CT can decrease this scatter contribution. Three bowtie filter designs that compensate for one or more aspects of the beam-modifying effects due to differences in path length in a projection were studied. These designs have been investigated in terms of their ability to reduce the scatter contamination in projection images acquired in a dedicated breast CT geometry. The scatter magnitude was measured as the scatter-to-primary ratio (SPR) using experimental and Monte Carlo techniques for various breast phantom diameters and tube voltages. The results show that a 55% reduction in the center SPR value could be obtained with the bowtie filter designs. On average, the bowtie filters reduced the center SPR by approximately 18% over all breast diameters. The distribution of the scatter was calculated at a range of different locations to produce scatter distribution maps for all three bowtie filter designs. With the inclusion of the bowtie filters, the scatter distribution was more uniform for all breast diameters. The results of this study will be useful in designing scatter correction methods and understanding the benefits of bowtie filters in dedicated breast CT.

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Kimberly Kontson and Robert J. Jennings "Characterization of scatter magnitude and distribution in dedicated breast computed tomography with bowtie filters," Journal of Medical Imaging 1(3), 033505 (18 December 2014). https://doi.org/10.1117/1.JMI.1.3.033505

Published: 18 December 2014

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