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

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

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

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

Samei, E., and J. Lo. “Special Section Guest Editorial: Special Section on 3D Printing in Medical Imaging.” Journal of Medical Imaging, vol. 6, no. 2, Apr. 2019. Scopus, doi:10.1117/1.JMI.6.2.021601. 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

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

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

Pages

Ria, F., et al. “Defining CT Noise and Dose Reference Levels From Clinical Patient Populations.” Medical Physics, vol. 45, no. 6, WILEY, 2018, pp. E134–35.

Ria, F., et al. “Use of Mercury Phantom to Predict CT Image Noise and Inform Protocol Design.” Medical Physics, vol. 45, no. 6, WILEY, 2018, pp. E136–E136.

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.

Pages