Ehsan Samei

Ehsan Samei

Professor of Radiology

Professor in the Department of Physics (Secondary)

Member of the Duke Cancer Institute

Professor in the Department of Electrical and Computer Engineering (Secondary)

Office Location: 
2424 Erwin Road, Suite 302, Ravin Advanced Imaging Labs, Durham, NC 27705
Front Office Address: 
DUMC Box 2731, Durham, NC 27710
Phone: 
(919) 684-7852

Overview

Dr. Ehsan Samei, PhD, DABR, FAAPM, FSPIE, FAIMBE is a Persian-American medical physicist. He is a tenured Professor of Radiology, Medical Physics, Biomedical Engineering, Physics, and Electrical and Computer Engineering at Duke University. He serves as the Director of the Duke Medical Physics Graduate Program and the Director of the Clinical Imaging Physics Group. He is certified by the American Board of Radiology, and is a Fellow of the American Association of Physicists in Medicine (AAPM), the International Society of Optics and Phtonics (SPIE), and the American Institute of Biomedical Engineering. He is a Councilor of the National Council of Radiation Protection and Measurements (NCRP), and a Distinguished Investigator of the Academy of Radiology Research. He was the founder or co-founder of the Duke Medical Physics Program, the Duke Imaging Physics Residency Program, the Duke Clinical Imaging Physics Group, and the Society of Directors of Academic Medical Physics Programs (SDAMPP). He has held senior leadership positions in the AAPM, SPIE, SDAMPP, and RSNA. 

Dr. Samei’s interests and expertise include x-ray imaging, theoretical imaging models, simulation methods, and experimental techniques in medical image formation, analysis, assessment, and perception.  His current research includes methods to develop image quality and dose metrics that are clinically relevant and that can be used to design and utilize advanced imaging techniques towards optimum interpretive and quantitative performance. He further has an active interest in bridging the gap between scientific scholarship and clinical practice, in the meaningful realization of translational research, and in clinical processes that are informed by scientific evidence. Those include advanced imaging performance characterization, procedural optimization, and radiomics in retrospective clinical dose and quality analytics. He has mentored over 100 trainees (graduate and postgraduate). He has over 900 scientific publications including over 240 referred journal articles. He has been the recipient of 34 grants as Principle Investigator reflecting $13M of extramural funding.

Education & Training

  • Ph.D., University of Michigan, Ann Arbor 1997

  • M.E., University of Michigan, Ann Arbor 1995

Selected Grants

Reconstruction Software Evaluation awarded by (Principal Investigator). 2014 to 2018

Methodology and Reference Image set for Volumetric Characterization and Compliance awarded by Radiological Society of North America (Principal Investigator). 2014 to 2017

Reference Image Set for Quantitation Conformance of Algorithmic Lesion Characterization awarded by Radiological Society of North America (Principal Investigator). 2014 to 2017

Advancement and Effective Implementation of Dose and Risk Monitoring Systems awarded by (Principal Investigator). 2014 to 2017

Decreased Variability for Robust Imaging-based Quantification of Tumor Heterogeneity awarded by Radiological Society of North America (Advisor). 2015 to 2017

IAEA scientific visit and training awarded by (Principal Investigator). 2016

Duke Clinical Imaging Physics Group Fellowship awarded by (Principal Investigator). 2015 to 2016

X-Ray Scatter and Phase Imaging for Explosive Detection awarded by (Co-Principal Investigator). 2011 to 2015

3D Digital Breast Phantoms For Multimodality Research awarded by National Institutes of Health (Collaborator). 2010 to 2014

Pages

Ria, Francesco, et al. “Expanding the Concept of Diagnostic Reference Levels to Noise and Dose Reference Levels in CT.Ajr Am J Roentgenol, vol. 213, no. 4, Oct. 2019, pp. 889–94. Pubmed, doi:10.2214/AJR.18.21030. Full Text Open Access Copy

Abadi, E., et al. “Development of a scanner-specific simulation framework for photon-counting computed tomography.” Biomedical Physics and Engineering Express, vol. 5, no. 5, Aug. 2019. Scopus, doi:10.1088/2057-1976/ab37e9. Full Text

Samei, Ehsan, and Thomas M. Grist. “Why physics in medicine?Phys Med, vol. 64, Aug. 2019, pp. 319–22. Pubmed, doi:10.1016/j.ejmp.2019.04.027. Full Text

Robins, Marthony, et al. “Evaluation of Simulated Lesions as Surrogates to Clinical Lesions for Thoracic CT Volumetry: The Results of an International Challenge.Acad Radiol, vol. 26, no. 7, July 2019, pp. e161–73. Pubmed, doi:10.1016/j.acra.2018.07.022. Full Text

Robins, Marthony, et al. “Systematic analysis of bias and variability of texture measurements in computed tomography.J Med Imaging (Bellingham), vol. 6, no. 3, July 2019, p. 033503. Pubmed, doi:10.1117/1.JMI.6.3.033503. Full Text

Abadi, Ehsan, et al. “DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography.Ieee Trans Med Imaging, vol. 38, no. 6, June 2019, pp. 1457–65. Pubmed, doi:10.1109/TMI.2018.2886530. Full Text

Gupta, Rajan T., et al. “The Need for Practical and Accurate Measures of Value for Radiology.J Am Coll Radiol, vol. 16, no. 6, June 2019, pp. 810–13. Pubmed, doi:10.1016/j.jacr.2018.11.013. Full Text

Mann, Steve D., et al. “Improved Dose Estimates for Fluoroscopically Guided Lumbar Epidural Injections.Pain Med, vol. 20, no. 5, May 2019, pp. 971–78. Pubmed, doi:10.1093/pm/pny172. Full Text

Euler, Andre, et al. “Can Realistic Liver Tissue Surrogates Accurately Quantify the Impact of Reduced-kV Imaging on Attenuation and Contrast of Parenchyma and Lesions?Acad Radiol, vol. 26, no. 5, May 2019, pp. 640–50. Pubmed, doi:10.1016/j.acra.2018.08.008. Full Text

Meyer, Mathias, et al. “Virtual Unenhanced Images at Dual-Energy CT: Influence on Renal Lesion Characterization.Radiology, vol. 291, no. 2, May 2019, pp. 381–90. Pubmed, doi:10.1148/radiol.2019181100. Full Text

Pages

Hoye, J., et al. “Quantifying truth-based change in radiomics features between CT imaging conditions.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2512786. Full Text

Sauer, T. J., and E. Samei. “Modeling dynamic, nutrient-access-based lesion progression using stochastic processes.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2513201. Full Text

Tong, H., et al. “Controlling the position-dependent contrast of 3D printed physical phantoms with a single material.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2513469. Full Text

Rajagopal, J. R., et al. “Accuracy and variability of radiomics in photon-counting CT: Texture features and lung lesion morphology.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2512934. Full Text

Rajagopal, J. R., et al. “Image quality in photon-counting CT images as a function of energy threshold.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2512957. Full Text

Tanaka, R., et al. “Dynamic chest radiography for pulmonary function diagnosis: A validation study using 4D extended cardiac-torso (XCAT) phantom.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2512332. Full Text

Abadi, E., et al. “Trade-off between spatial details and motion artifact in multi-detector CT: A virtual clinical trial with 4D textured human models.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2512891. Full Text

Sharma, S., et al. “A comprehensive GPU-based framework for scatter estimation in single source, dual source, and photon-counting CT.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2513198. Full Text

Abadi, E., et al. “A framework for realistic virtual clinical trials in photon counting computed tomography.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2512898. Full Text

Fu, W., et al. “Multi-organ segmentation in clinical-computed tomography for patient-specific image quality and dose metrology.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2512883. Full Text

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