Mr. Robert E. Morris Profile

Robert E. Morris

at Duke Univ Medical Ctr

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Publications (2)

Proceedings Article | 22 March 2016 Paper

Coded aperture coherent scatter imaging for breast cancer detection: a Monte Carlo evaluation

Manu Lakshmanan, Robert Morris, Joel Greenberg, Ehsan Samei, Anuj Kapadia

Proceedings Volume 9783, 978321 (2016) https://doi.org/10.1117/12.2216482

KEYWORDS: Monte Carlo methods, Breast, Coded apertures, Coherence imaging, Tissues, Mammography, Coded aperture imaging, X-ray imaging, X-rays, Breast cancer, Imaging systems, Image segmentation

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It is known that conventional x-ray imaging provides a maximum contrast between cancerous and healthy fibroglandular breast tissues of 3% based on their linear x-ray attenuation coefficients at 17.5 keV, whereas coherent scatter signal provides a maximum contrast of 19% based on their differential coherent scatter cross sections. Therefore in order to exploit this potential contrast, we seek to evaluate the performance of a coded- aperture coherent scatter imaging system for breast cancer detection and investigate its accuracy using Monte Carlo simulations. In the simulations we modeled our experimental system, which consists of a raster-scanned pencil beam of x-rays, a bismuth-tin coded aperture mask comprised of a repeating slit pattern with 2-mm periodicity, and a linear-array of 128 detector pixels with 6.5-keV energy resolution. The breast tissue that was scanned comprised a 3-cm sample taken from a patient-based XCAT breast phantom containing a tomosynthesis- based realistic simulated lesion. The differential coherent scatter cross section was reconstructed at each pixel in the image using an iterative reconstruction algorithm. Each pixel in the reconstructed image was then classified as being either air or the type of breast tissue with which its normalized reconstructed differential coherent scatter cross section had the highest correlation coefficient. Comparison of the final tissue classification results with the ground truth image showed that the coded aperture imaging technique has a cancerous pixel detection sensitivity (correct identification of cancerous pixels), specificity (correctly ruling out healthy pixels as not being cancer) and accuracy of 92.4%, 91.9% and 92.0%, respectively. Our Monte Carlo evaluation of our experimental coded aperture coherent scatter imaging system shows that it is able to exploit the greater contrast available from coherently scattered x-rays to increase the accuracy of detecting cancerous regions within the breast.

Proceedings Article | 22 March 2016 Paper

Validation of coded aperture coherent scatter spectral imaging for normal and neoplastic breast tissues via surgical pathology

R. Morris, K. Albanese, M. Lakshmanan, S. McCall, J. Greenberg, A. Kapadia

Proceedings Volume 9783, 97835T (2016) https://doi.org/10.1117/12.2216974

KEYWORDS: Breast, Coded apertures, Imaging spectroscopy, Tissues, Pathology, X-ray diffraction, Reconstruction algorithms, Raster graphics, Imaging devices, Sensors, Photons, Tumors, X-rays, Data acquisition, Diffraction

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