Ms. Laura S. Faulconer Profile

Laura S. Faulconer

at Univ of North Carolina at Chapel Hill

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Proceedings Article | 14 March 2009 Paper

X-ray tube-based diffraction enhanced imaging prototype images of full-thickness breast specimens: reader study evaluation

L. Faulconer, C. Parham, D. Connor, M. Koomen, C. Kuzmiak, D. Pavic, C. Livasy, E. Kim, D. Zeng, E. Cole, Z. Zhong, E. Pisano

Proceedings Volume 7258, 72585M (2009) https://doi.org/10.1117/12.813669

KEYWORDS: X-rays, Imaging systems, Tissues, X-ray imaging, Breast, Refraction, Reflectivity, Pathology, Crystals, X-ray diffraction

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Conventional mammographic image contrast is derived from x-ray absorption, resulting in breast structure visualization due to density gradients that attenuate radiation without distinction between transmitted and scattered or refracted x-rays. This leads to image blurring and contrast reduction, hindering the early detection of small or otherwise occult cancers. Diffraction enhanced imaging (DEI) allows for dramatically increased contrast with decreased radiation dose compared to conventional mammographic imaging due to monochromatic x-rays, its unique refraction-based contrast mechanism and excellent scatter rejection. However, a lingering drawback to the clinical translation of DEI has been the requirement for synchrotron radiation. Our laboratory developed a DEI prototype (DEI-PR) utilizing a readily available Tungsten xray tube source and traditional DEI crystal optics, providing soft tissue images at 60keV. To demonstrate the clinical utility of our DEI-PR, we acquired images of full-thickness human breast tissue specimens on synchrotron-based DEI, DEI-PR and digital mammography systems. A reader study was designed to allow unbiased assessment of system performance when analyzing three systems with dissimilar imaging parameters and requiring analysis of images unfamiliar to radiologists. A panel of expert radiologists evaluated lesion feature visibility and histopathology correlation after receiving training on the interpretation of refraction contrast mammographic images. Preliminary data analysis suggests that our DEI system performed roughly equivalently with the traditional DEI system, demonstrating a significant step toward clinical translation of this modality for breast cancer applications.

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