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)
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.
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
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
Samei, Ehsan, et al. “A database of 40 patient-based computational models for benchmarking organ dose estimates in CT.” Med Phys, July 2020. Pubmed, doi:10.1002/mp.14373. Full Text Open Access Copy
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
Cheng, Yuan, et al. “Correlation of Algorithmic and Visual Assessment of Lesion Detection in Clinical Images.” Acad Radiol, vol. 27, no. 6, June 2020, pp. 847–55. Pubmed, doi:10.1016/j.acra.2019.07.015. Full Text
Nelson, Jeffrey S., and Ehsan Samei. “Automated quality control in nuclear medicine using the structured noise index.” J Appl Clin Med Phys, vol. 21, no. 4, Apr. 2020, pp. 80–86. Pubmed, doi:10.1002/acm2.12850. Full Text
Ria, Francesco, and Ehsan Samei. “Is regulatory compliance enough to ensure excellence in medicine?” Radiol Med, Mar. 2020. Pubmed, doi:10.1007/s11547-020-01171-5. Full Text Open Access Copy
Setiawan, H., et al. “Patient-informed modelling of hepatic contrast dynamics in contrast-enhanced CT imaging.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 11312, Jan. 2020. Scopus, doi:10.1117/12.2548879. Full Text Open Access Copy
Meyer, Mathias, et al. “Reproducibility of CT Radiomic Features within the Same Patient: Influence of Radiation Dose and CT Reconstruction Settings.” Radiology, vol. 293, no. 3, Dec. 2019, pp. 583–91. Pubmed, doi:10.1148/radiol.2019190928. Full Text
Sharma, Shobhit, et al. “A real-time Monte Carlo tool for individualized dose estimations in clinical CT.” Phys Med Biol, vol. 64, no. 21, Nov. 2019, p. 215020. Pubmed, doi:10.1088/1361-6560/ab467f. Full Text
Cheng, Yuan, et al. “Validation of algorithmic CT image quality metrics with preferences of radiologists.” Med Phys, vol. 46, no. 11, Nov. 2019, pp. 4837–46. Pubmed, doi:10.1002/mp.13795. Full Text Open Access Copy
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
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
Russ, M., et al. “Quantitative Evaluation of Clinical Fluoroscopy Systems: Reproducibility of Temporal Modulation Transfer Function and Temporal Noise Power Spectrum Measurements Using a Rotating Edge Method.” Medical Physics, vol. 46, no. 6, WILEY, 2019, pp. E528–29.
Schuermann, T., et al. “Task-Based Evaluation of a Novel High-Matrix Size Reconstruction Employed to Best Utilize Spatial Resolution in State-Of-The-Art Computed Tomography.” Medical Physics, vol. 46, no. 6, WILEY, 2019, pp. E253–E253.
Kanal, Kalpana, et al. “How International Actions Interface and Support Med Phys 3.0.” Medical Physics, vol. 46, no. 6, WILEY, 2019, pp. E255–56.
Samei, Ehsan, et al. “Comment on “Comparison of patient specific dose metrics between chest radiography, tomosynthesis, and CT for adult patients of wide ranging body habitus” [Med. Phys. 41(2), 023901 (12pp.) (2014)].” Medical Physics, vol. 42, no. 4, Apr. 2015, p. 2094. Epmc, doi:10.1118/1.4914374. Full Text