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
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
Ria, Francesco, et al. “Expanding the Concept of Diagnostic Reference Levels to Noise and Dose Reference Levels in CT..” Ajr Am J Roentgenol, June 2019, pp. 1–6. Pubmed, doi:10.2214/AJR.18.21030. Full Text Open Access Copy
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
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
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
Jordan, David W., et al. “Automation, regulation, and collaboration: Threats and opportunities for clinical medical physics careers in diagnostic imaging and nuclear medicine..” J Appl Clin Med Phys, vol. 20, no. 5, May 2019, pp. 4–6. Pubmed, doi:10.1002/acm2.12604. 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
Euler, André, et al. “How accurate and precise are CT based measurements of iodine concentration? A comparison of the minimum detectable concentration difference among single source and dual source dual energy CT in a phantom study..” Eur Radiol, vol. 29, no. 4, Apr. 2019, pp. 2069–78. Pubmed, doi:10.1007/s00330-018-5736-0. Full Text
Robins, Marthony, et al. “Validation of lesion simulations in clinical CT data for anonymized chest and abdominal CT databases..” Med Phys, vol. 46, no. 4, Apr. 2019, pp. 1931–37. Pubmed, doi:10.1002/mp.13412. Full Text
Fu, W., et al. Effective Dose for Computed Tomography in Large, Clinical Populations. 2018.
Ding, Aiping, et al. A Data-Centric Strategy for Developing CT Dose and Noise Reference Levels from Clinical Patient Populations. 2018.
Smith, T., et al. CT Resolution, Noise, and Dose Reference Levels Across a Multi-Center Patient Population. 2018.
Lacy, tyler, et al. A Novel Methodology for Automated Image Quality Assessment of Pediatric CT. 2018.
Solomon, J., et al. “An Automated Software Tool for Task-Based Image Quality Assessment and Matching in Clinical CT Using the TG-233 Framework.” Medical Physics, vol. 45, no. 6, WILEY, 2018, pp. E134–E134.
Fu, W., et al. “Comprehensive Implementation of Patient-Informed Organ Dose Estimation for Adult, Pediatric and Pregnant Patients in Clinical Computed Tomography.” Medical Physics, vol. 45, no. 6, WILEY, 2018, pp. E689–E689.
Fenoli, J., et al. “Organ Dose Heterogeneity in Chest and Abdominopelvic CT Scans for a Population of Adult and Pediatric Phantoms: A Virtual Clinical Trial Study.” Medical Physics, vol. 45, no. 6, WILEY, 2018, pp. E153–E153.
Samei, E., and W. West. “Role of the Diagnostic Physicist.” Medical Physics, vol. 45, no. 6, WILEY, 2018, pp. E531–E531.
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