Professor of Radiology
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.
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 (Principal Investigator). 2017 to 2020
Design for systematic consistency of quality and dose in contrast enhanced CT awarded by (Principal Investigator). 2018 to 2020
3D Printing of Anatomically Realistic Phantoms for Optimization of Imaging Algorithms awarded by National Institutes of Health (Investigator). 2018 to 2020
Simulation Tools for 3D and 4D CT and Dosimetry awarded by National Institutes of Health (Co-Principal Investigator). 2007 to 2019
Training in Medical Imaging awarded by National Institutes of Health (Mentor). 2003 to 2019
Imaging Physics Residency Grant awarded by American Association of Physicists in Medicine (Principal Investigator). 2014 to 2018
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
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
Cheng, Yuan, et al. “Validation of algorithmic CT image quality metrics with preferences of radiologists..” Med Phys, Aug. 2019. Pubmed, doi:10.1002/mp.13795. Full Text Open Access Copy
Hoye, Jocelyn, et al. “Organ doses from CT localizer radiographs: Development, validation, and application of a Monte Carlo estimation technique..” Med Phys, Aug. 2019. Pubmed, doi:10.1002/mp.13781. Full Text Open Access Copy
Cheng, Yuan, et al. “Correlation of Algorithmic and Visual Assessment of Lesion Detection in Clinical Images..” Acad Radiol, Aug. 2019. Pubmed, doi:10.1016/j.acra.2019.07.015. Full Text
Samei, Ehsan, et al. “Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233..” Med Phys, Aug. 2019. Pubmed, doi:10.1002/mp.13763. 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. 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
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.
Setiawan, H., et al. “Patient-informed and physiology-based modelling of contrast dynamics in cross-sectional imaging.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2513431. Full Text
Sauer, T. J., et al. “Anatomically- and computationally-informed hepatic contrast perfusion simulations for use in virtual clinical trials.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2513465. Full Text
Pegues, H., et al. “Using inkjet 3D printing to create contrast-enhanced textured physical phantoms for CT.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2512890. Full Text
Liu, Y., et al. “Deep learning of 3D computed tomography (CT) images for organ segmentation using 2D multi-channel SegNet model.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10954, 2019. Scopus, doi:10.1117/12.2512887. Full Text
Veress, A. I., et al. “Utilizing deformable image registration to create new living human heart models for imaging simulation.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2512939. Full Text
Rajagopal, J. R., et al. “Impact of energy threshold on material quantification of contrast agents in photon-counting CT.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10948, 2019. Scopus, doi:10.1117/12.2512944. Full Text
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
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)]..” Med Phys, vol. 42, no. 4, Apr. 2015. Pubmed, doi:10.1118/1.4914374. Full Text