
Proceedings Paper
Dual-energy subtraction for contrast-enhanced digital breast tomosynthesisFormat | Member Price | Non-Member Price |
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Paper Abstract
We have developed a dual-energy subtraction technique for contrast-enhanced breast tomosynthesis. The imaging
system consists of 48 photon-counting linear detectors which are precisely aligned with the focal spot of the x-ray
source. The x-ray source and the digital detectors are translated across the breast in a continuous linear motion; each
linear detector collects an image at a distinct angle. A pre-collimator is positioned above the breast and defines 48 fan-shaped
beams, each aligned with a detector. Low- and high-energy images are acquired in a single scan; half of the
detectors capture a low-energy beam and half capture a high-energy beam, as alternating fan-beams are filtered to
emphasize low and high energies. Imaging was performed with a W-target at 45 and 49 kV. Phantom experiments and
theoretical modeling were conducted. Iodine images were produced with weighted logarithmic subtraction. The
optimal tissue cancellation factor, wt, was determined based on simultaneous preservation of the iodine signal and
suppression of simulated anatomic background. Optimal dose allocation between low- and high-energy images was
investigated. Mean glandular doses were restricted to ensure clinical relevance. Unlike other dual-energy approaches,
both spectra must have the same peak energy in this system design. We have observed that wt is mainly dependent on
filter combination and varies only slightly with kV and breast thickness, thus ensuring a robust clinical implementation.
Optimal performance is obtained when the dose fraction allocated to the high energy images ranges from 0.55 to 0.65.
Using elemental filters, we have been able to effectively suppress the anatomic background.
Paper Details
Date Published: 16 March 2007
PDF: 12 pages
Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 651007 (16 March 2007); doi: 10.1117/12.713703
Published in SPIE Proceedings Vol. 6510:
Medical Imaging 2007: Physics of Medical Imaging
Jiang Hsieh; Michael J. Flynn, Editor(s)
PDF: 12 pages
Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 651007 (16 March 2007); doi: 10.1117/12.713703
Show Author Affiliations
Ann-Katherine Carton, Univ. of Pennsylvania (United States)
Karin Lindman, XCounter AB (Sweden)
Christer Ullberg, XCounter AB (Sweden)
Karin Lindman, XCounter AB (Sweden)
Christer Ullberg, XCounter AB (Sweden)
Published in SPIE Proceedings Vol. 6510:
Medical Imaging 2007: Physics of Medical Imaging
Jiang Hsieh; Michael J. Flynn, Editor(s)
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