Dr. Robert J. LeClair Profile

Dr. Robert J. LeClair

Associate Professor at Laurentian Univ

SPIE Involvement:

Author

Publications (8)

Proceedings Article | 16 March 2020 Paper

Response of CZT pixels to parallel and oblique x rays

R. LeClair, E. McCarthy

Proceedings Volume 11312, 113123Y (2020) https://doi.org/10.1117/12.2549546

KEYWORDS: Sensors, Photons, Luminescence, Quantum efficiency, Chemical species, Breast, Cadmium, Tellurium, Zinc, Absorption

Read Abstract +

Proceedings Article | 1 March 2019 Presentation + Paper

Model of malignant breast biopsies and predictions of their WAXS energy integrated signals

R. LeClair, M. Brunet

Proceedings Volume 10948, 1094803 (2019) https://doi.org/10.1117/12.2508379

KEYWORDS: Biopsy, Breast, Signal to noise ratio, Tissues, Sensors, Scattering, Diagnostics, Tumor growth modeling, Cancer

Read Abstract +

Proceedings Article | 9 March 2017 Paper

Quantitative 1D diffraction signatures during dual detector scatter VOI breast CBCT

Robert LeClair

Proceedings Volume 10132, 101324Q (2017) https://doi.org/10.1117/12.2254480

KEYWORDS: Diagnostics, Diffraction, Tissues, X-ray diffraction, X-rays, Breast, X-ray detectors, Signal detection, Photons, Cancer, Scattering, Eye, Spherical lenses

Read Abstract +

SPIE Journal Paper | 23 October 2015 Open Access

Model predictions for the wide-angle x-ray scatter signals of healthy and malignant breast duct biopsies

Robert LeClair, Andrew Ferreira, Nancy McDonald, Curtis Laamanen, Robert Tang

JMI, Vol. 2, Issue 04, 043502, (October 2015) https://doi.org/10.1117/12.10.1117/1.JMI.2.4.043502

KEYWORDS: Biopsy, Breast, Tissues, X-rays, Tumor growth modeling, Diagnostics, X-ray imaging, Sensors, Biological research, Scattering

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 19 March 2014 Paper

Potential use of a single scatter model in breast CBCT applications

C. Laamanen, R. LeClair

Proceedings Volume 9033, 903365 (2014) https://doi.org/10.1117/12.2043629

KEYWORDS: Breast, Image segmentation, Computer simulations, Photons, Monte Carlo methods, Scattering, Tissues, Breast imaging, Signal attenuation, X-rays

Read Abstract +