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.
Cross-disciplinary Training in Medical Physics awarded by National Institutes of Health (Director). 2007 to 2013
Information-Theoretic Based CAD in Mammography awarded by National Institutes of Health (Scientist). 2003 to 2011
Tomosynthesis for Improved Breast Cancer Detection awarded by National Institutes of Health (Co Investigator). 2006 to 2011
Bi-Plane Correlation Imaging for Early Detection of Lung Cancer awarded by National Institutes of Health (Principal Investigator). 2004 to 2010
Task-Specific Optimization of Mammographic Systems awarded by (Principal Investigator). 2004 to 2007
Resolution Requirements for Mammographic Displays awarded by National Institutes of Health (Principal Investigator). 2003 to 2006
Early Detection of Lung Cancer via Bi-plane Correlation Chest Imaging awarded by National Institutes of Health (Principal Investigator). 2001 to 2004
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
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
Rossman, Andrea H., et al. “Three-dimensionally-printed anthropomorphic physical phantom for mammography and digital breast tomosynthesis with custom materials, lesions, and uniform quality control region.” J Med Imaging (Bellingham), vol. 6, no. 2, Apr. 2019, p. 021604. Pubmed, doi:10.1117/1.JMI.6.2.021604. Full Text
Samei, Ehsan, et al. “Design and fabrication of heterogeneous lung nodule phantoms for assessing the accuracy and variability of measured texture radiomics features in CT.” J Med Imaging (Bellingham), vol. 6, no. 2, Apr. 2019, p. 021606. Pubmed, doi:10.1117/1.JMI.6.2.021606. Full Text
Euler, André, et al. “High-Pitch Wide-Coverage Fast-Kilovoltage-Switching Dual-Energy CT: Impact of Pitch on Noise, Spatial Resolution, and Iodine Quantification in a Phantom Study.” Ajr Am J Roentgenol, vol. 212, no. 3, Mar. 2019, pp. W64–72. Pubmed, doi:10.2214/AJR.18.19851. Full Text
Ho, Lisa M., et al. “Can Texture Analysis Be Used to Distinguish Benign From Malignant Adrenal Nodules on Unenhanced CT, Contrast-Enhanced CT, or In-Phase and Opposed-Phase MRI?” Ajr Am J Roentgenol, vol. 212, no. 3, Mar. 2019, pp. 554–61. Pubmed, doi:10.2214/AJR.18.20097. Full Text
Jensen, Corey T., et al. “Detection of Colorectal Hepatic Metastases Is Superior at Standard Radiation Dose CT versus Reduced Dose CT.” Radiology, vol. 290, no. 2, Feb. 2019, pp. 400–09. Pubmed, doi:10.1148/radiol.2018181657. Full Text
Samei, Ehsan. “Medical Physics 3.0: Ensuring Quality and Safety in Medical Imaging.” Health Phys, vol. 116, no. 2, Feb. 2019, pp. 247–55. Pubmed, doi:10.1097/HP.0000000000001022. Full Text
Segars, W. Paul, et al. “Incorporation of the Living Heart Model into the 4D XCAT Phantom for Cardiac Imaging Research.” Ieee Trans Radiat Plasma Med Sci, vol. 3, no. 1, Jan. 2019, pp. 54–60. Pubmed, doi:10.1109/TRPMS.2018.2823060. 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
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
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.