Share Email Print
cover

Proceedings Paper

Dual-energy contrast-enhanced digital mammography (DE-CEDM): optimization on digital subtraction with practical x-ray low/high-energy spectra
Author(s): Biao Chen; Zhenxue Jing; Andrew P. Smith; Samir Parikh; Yuri Parisky
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Dual-energy contrast enhanced digital mammography (DE-CEDM), which is based upon the digital subtraction of low/high-energy image pairs acquired before/after the administration of contrast agents, may provide physicians physiologic and morphologic information of breast lesions and help characterize their probability of malignancy. This paper proposes to use only one pair of post-contrast low / high-energy images to obtain digitally subtracted dual-energy contrast-enhanced images with an optimal weighting factor deduced from simulated characteristics of the imaging chain. Based upon our previous CEDM framework, quantitative characteristics of the materials and imaging components in the x-ray imaging chain, including x-ray tube (tungsten) spectrum, filters, breast tissues / lesions, contrast agents (non-ionized iodine solution), and selenium detector, were systemically modeled. Using the base-material (polyethylene-PMMA) decomposition method based on entrance low / high-energy x-ray spectra and breast thickness, the optimal weighting factor was calculated to cancel the contrast between fatty and glandular tissues while enhancing the contrast of iodized lesions. By contrast, previous work determined the optimal weighting factor through either a calibration step or through acquisition of a pre-contrast low/high-energy image pair. Computer simulations were conducted to determine weighting factors, lesions' contrast signal values, and dose levels as functions of x-ray techniques and breast thicknesses. Phantom and clinical feasibility studies were performed on a modified Selenia full field digital mammography system to verify the proposed method and computer-simulated results. The resultant conclusions from the computer simulations and phantom/clinical feasibility studies will be used in the upcoming clinical study.

Paper Details

Date Published: 2 March 2006
PDF: 10 pages
Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 61422N (2 March 2006); doi: 10.1117/12.653203
Show Author Affiliations
Biao Chen, Hologic, Inc. (United States)
Zhenxue Jing, Hologic, Inc. (United States)
Andrew P. Smith, Hologic, Inc. (United States)
Samir Parikh, Hologic, Inc. (United States)
Yuri Parisky, Norris Cancer Hospital Breast Ctr., Univ. of Southern California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 6142:
Medical Imaging 2006: Physics of Medical Imaging
Michael J. Flynn; Jiang Hsieh, Editor(s)

© SPIE. Terms of Use
Back to Top