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

Simulation Tools for 3D and 4D CT and Dosimetry awarded by National Institutes of Health (Co-Principal Investigator). 2007 to 2024

Duke Resident Physician-Scientist Program in Radiation Oncology and Radiology awarded by National Institutes of Health (Preceptor). 2020 to 2024

Open-access X-ray and CT simulation toolkit for research in cancer imaging and dosimetry awarded by GE Global Research (Co Investigator). 2019 to 2022

Advanced Spectral CT System Design Through Virtual Imaging awarded by GE Healthcare (Principal Investigator). 2020 to 2021

3D Printing of Anatomically Realistic Phantoms for Optimization of Imaging Algorithms awarded by National Institutes of Health (Investigator). 2018 to 2021

Precision Cardiac CT: Development of a Computational Platform for Optimizing Imaging awarded by National Institutes of Health (Principal Investigator). 2017 to 2021

Physics Associates Affiliate Residency Program awarded by Physics Associates (Principal Investigator). 2017 to 2020

Design for systematic consistency of quality and dose in contrast enhanced CT awarded by Bracco Diagnostics, Inc. (Principal Investigator). 2018 to 2020

Training in Medical Imaging awarded by National Institutes of Health (Mentor). 2003 to 2020

Imaging Physics Residency Grant awarded by American Association of Physicists in Medicine (Principal Investigator). 2014 to 2018

Pages

Samei, E., and N. J. Pelc. Preface. 2019, p. IX.

Samei, E., and N. J. Pelc. Computed tomography: Approaches, applications, and operations. 2019, pp. 1–470. Scopus, doi:10.1007/978-3-030-26957-9. Full Text

Computed Tomography. Springer International Publishing, 2020. Crossref, doi:10.1007/978-3-030-26957-9. Full Text

Ding, A., et al. “CT practice monitoring.” Computed Tomography: Approaches, Applications, and Operations, 2019, pp. 199–220. Scopus, doi:10.1007/978-3-030-26957-9_11. Full Text

Samei, E., and J. Hoye. “CT-based quantification.” Computed Tomography: Approaches, Applications, and Operations, 2019, pp. 289–304. Scopus, doi:10.1007/978-3-030-26957-9_15. Full Text

Solomon, J., and E. Samei. “CT performance optimization.” Computed Tomography: Approaches, Applications, and Operations, 2019, pp. 143–64. Scopus, doi:10.1007/978-3-030-26957-9_8. Full Text

Ria, Francesco, and Ehsan Samei. “Is regulatory compliance enough to ensure excellence in medicine?Radiol Med, vol. 125, no. 9, Sept. 2020, pp. 904–05. Pubmed, doi:10.1007/s11547-020-01171-5. Full Text Open Access Copy

Rajagopal, Jayasai R., et al. “Comparison of Low Dose Performance of Photon-Counting and Energy Integrating CT.Acad Radiol, Aug. 2020. Pubmed, doi:10.1016/j.acra.2020.07.033. Full Text

Abadi, Ehsan, et al. “Virtual Imaging Trials for Coronavirus Disease (COVID-19).Ajr Am J Roentgenol, Aug. 2020, pp. 1–7. Pubmed, doi:10.2214/AJR.20.23429. Full Text

Hoye, Jocelyn, et al. “Quantification of Minimum Detectable Difference in Radiomics Features Across Lesions and CT Imaging Conditions.Acad Radiol, Aug. 2020. Pubmed, doi:10.1016/j.acra.2020.07.029. Full Text

Abadi, Ehsan, et al. “Virtual clinical trials in medical imaging: a review.J Med Imaging (Bellingham), vol. 7, no. 4, July 2020, p. 042805. Pubmed, doi:10.1117/1.JMI.7.4.042805. Full Text

Abadi, Ehsan, et al. “Virtual clinical trial for quantifying the effects of beam collimation and pitch on image quality in computed tomography.J Med Imaging (Bellingham), vol. 7, no. 4, July 2020, p. 042806. Pubmed, doi:10.1117/1.JMI.7.4.042806. Full Text

Samei, Ehsan, et al. “Virtual Clinical Trials: Why and What (Special Section Guest Editorial).J Med Imaging (Bellingham), vol. 7, no. 4, July 2020, p. 042801. Pubmed, doi:10.1117/1.JMI.7.4.042801. Full Text

Ding, Yuqin, et al. “Variability of quantitative measurements of metastatic liver lesions: a multi-radiation-dose-level and multi-reader comparison.Abdom Radiol (Ny), June 2020. Pubmed, doi:10.1007/s00261-020-02601-8. Full Text

Solomon, Justin, et al. “Noise and spatial resolution properties of a commercially available deep learning-based CT reconstruction algorithm.Med Phys, June 2020. Pubmed, doi:10.1002/mp.14319. Full Text

Pages

Ria, Francesco, et al. “Comparison and validation of noise magnitude estimation methods from patient CT images.” Journal of Medical Physics, vol. 6, no. 47, Medknow Publications, 2020, pp. e520–e520. Manual, doi:10.1002/mp.14316. Full Text Open Access Copy

Abadi, E., et al. “Optimization of energy thresholds in photon-counting CT via a virtual clinical trial.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 11312, 2020. Scopus, doi:10.1117/12.2549055. Full Text

Samei, E., et al. “Virtual imaging trials: An emerging experimental paradigm in imaging research and practice.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 11312, 2020. Scopus, doi:10.1117/12.2549818. Full Text

Pegues, H., et al. “CT phantom with 3D anthropomorphic, contrast-enhanced texture.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 11312, 2020. Scopus, doi:10.1117/12.2549734. Full Text

Fricks, R. B., et al. “Automatic phantom test pattern classification through transfer learning with deep neural networks.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 11312, 2020. Scopus, doi:10.1117/12.2549366. Full Text

Hoye, J., et al. “A method to assess the performance and the relevance of segmentation in radiomic characterization.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 11312, 2020. Scopus, doi:10.1117/12.2549097. Full Text

Smith, T. B., et al. “In vivo noise texture estimation: Development and validation of an automated methodology.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 11312, 2020. Scopus, doi:10.1117/12.2549268. Full Text

Tanaka, R., et al. “Prediction of pleural invasion of lung cancer with dynamic chest radiography: A simulation study.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 11312, 2020. Scopus, doi:10.1117/12.2547464. Full Text

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