Paper
22 March 2010 Multilayer x-ray detector for contrast-enhanced digital subtraction mammography
Nicholas Allec, Karim S. Karim
Author Affiliations +
Abstract
Contrast-enhanced digital subtraction mammography relies on the growth of new blood vessels (i.e. tumor angiogenesis) during the development of cancer. The growth accompanies an increase in tumor cell population to provide sufficient materials for cell proliferation. Since cancers will accumulate an injected contrast agent more than other tissues, it is possible to use one of several methods to enhance the area of lesions and remove the contrast of normal tissue. Large area flat panel detectors may be used for contrast-enhanced mammography wherein the subtraction of two acquired images is used to create the resulting enhanced image. Existing methods include temporal subtraction and dual energy subtraction, however these methods suffer from artifacts due to patient motion between the registration of images to be subtracted. In this paper we propose using a multilayer flat panel detector for contrast-enhanced digital subtraction mammography. The detector is designed to acquire both images simultaneously, thus avoiding motion artifacts in the resulting subtracted image. We study the multilayer detector design and examine the optimal weight factor and the signal difference to noise ratio. We find that the multilayer detector has the potential for energy discrimination, and thus the ability to be used for contrast-enhanced digital subtraction mammography.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nicholas Allec and Karim S. Karim "Multilayer x-ray detector for contrast-enhanced digital subtraction mammography", Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76221M (22 March 2010); https://doi.org/10.1117/12.844008
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Cited by 6 scholarly publications.
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KEYWORDS
Sensors

Digital mammography

Molybdenum

Rhodium

Signal to noise ratio

Breast

Tissues

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