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.
Robins, Marthony, et al. “Interchangeability between real and three-dimensional simulated lung tumors in computed tomography: an interalgorithm volumetry study.” J Med Imaging (Bellingham), vol. 5, no. 3, July 2018, p. 035504. Pubmed, doi:10.1117/1.JMI.5.3.035504. Full Text
Smith, Taylor Brunton, et al. “Estimating detectability index in vivo: development and validation of an automated methodology.” J Med Imaging (Bellingham), vol. 5, no. 3, July 2018, p. 031403. Pubmed, doi:10.1117/1.JMI.5.3.031403. Full Text
Samei, Ehsan, et al. “Estimability index for volume quantification of homogeneous spherical lesions in computed tomography.” J Med Imaging (Bellingham), vol. 5, no. 3, July 2018, p. 031404. Pubmed, doi:10.1117/1.JMI.5.3.031404. Full Text
Euler, André, et al. “A Third-Generation Adaptive Statistical Iterative Reconstruction Technique: Phantom Study of Image Noise, Spatial Resolution, Lesion Detectability, and Dose Reduction Potential.” Ajr Am J Roentgenol, vol. 210, no. 6, June 2018, pp. 1301–08. Pubmed, doi:10.2214/AJR.17.19102. Full Text
Segars, W. Paul, et al. “Application of the 4-D XCAT Phantoms in Biomedical Imaging and Beyond.” Ieee Trans Med Imaging, vol. 37, no. 3, Mar. 2018, pp. 680–92. Pubmed, doi:10.1109/TMI.2017.2738448. Full Text
Abadi, Ehsan, et al. “Modeling Lung Architecture in the XCAT Series of Phantoms: Physiologically Based Airways, Arteries and Veins.” Ieee Trans Med Imaging, vol. 37, no. 3, Mar. 2018, pp. 693–702. Pubmed, doi:10.1109/TMI.2017.2769640. Full Text
Samei, Ehsan, et al. “Report of AAPM Task Group 162: Software for planar image quality metrology.” Med Phys, vol. 45, no. 2, Feb. 2018, pp. e32–39. Pubmed, doi:10.1002/mp.12718. Full Text
Richards, Taylor, et al. “Quantification of uncertainty in the assessment of coronary plaque in CCTA through a dynamic cardiac phantom and 3D-printed plaque model.” J Med Imaging (Bellingham), vol. 5, no. 1, Jan. 2018, p. 013501. Pubmed, doi:10.1117/1.JMI.5.1.013501. Full Text
Abadi, Ehsan, et al. “Modeling Lung Architecture in the XCAT Series of Phantoms: Physiologically Based Airways, Arteries and Veins.” Ieee Trans. Med. Imaging, vol. 37, 2018, pp. 693–702.
Samei, Ehsan, et al. “Radiation risk index for pediatric CT: a patient-derived metric.” Pediatr Radiol, vol. 47, no. 13, Dec. 2017, pp. 1737–44. Pubmed, doi:10.1007/s00247-017-3973-z. Full Text
Fu, W., et al. “From patient-informed to patient-specific organ dose estimation in clinical computed tomography.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10573, 2018. Scopus, doi:10.1117/12.2294954. Full Text
Abadi, E., et al. “Virtual clinical trial in action: Textured XCAT phantoms and scanner-specific CT simulator to characterize noise across CT reconstruction algorithms.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10573, 2018. Scopus, doi:10.1117/12.2294599. Full Text
Sharma, S., et al. “A rapid GPU-based Monte Carlo simulation tool for individualized dose estimations in CT.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10573, 2018. Scopus, doi:10.1117/12.2294965. Full Text
Abadi, E., et al. “Development of a fast, voxel-based, and scanner-specific CT simulator for image-quality-based virtual clinical trials.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10573, 2018. Scopus, doi:10.1117/12.2293123. Full Text
Davis, Joseph, et al. Quantifying quality: correlation phantom and clinical scan CT noise levels to contruct a Quality Reference Level. 2017.
Zanca, Federica, et al. Organ Dose Estimation in CT through Voxelized Phantoms and Monte Carlo Methods: Impact of Wrong Patient-Phantom Matching. 2017.
Ding, A., et al. “Robustness and Accuracy of An Automated Solution for Measuring Image Noise, Spatial Resolution, Contrast, and Dose in Clinical CT Images: Efforts Towards Patient-Specific Quantifications of CT Image Quality and Radiation Dose.” Medical Physics, vol. 6, no. 44, American Association of Physicists in Medicine, 2017, pp. 3023–24.
Smith, T., et al. “Image Quality Monitoring: Variability in Contrast Enhancement Across a Clinical Population.” Medical Physics, vol. 6, no. 44, American Association of Physicists in Medicine, 2017, pp. 3167–68.
Hoye, J., et al. “Organ Dose Estimation for CT Localizer Images.” Medical Physics, vol. 6, no. 44, American Association of Physicists in Medicine, 2017, pp. 3301–3301.