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.
Hoye, Jocelyn, et al. “Systematic analysis of bias and variability of morphologic features for lung lesions in computed tomography.” J Med Imaging (Bellingham), vol. 6, no. 1, Jan. 2019, p. 013504. Pubmed, doi:10.1117/1.JMI.6.1.013504. Full Text
Robins, Marthony, et al. “3D task-transfer function representation of the signal transfer properties of low-contrast lesions in FBP- and iterative-reconstructed CT.” Med Phys, vol. 45, no. 11, Nov. 2018, pp. 4977–85. Pubmed, doi:10.1002/mp.13205. Full Text
Winslow, James, et al. “Dependency of prescribed CT dose on table height, patient size, and localizer acquisition for one clinical MDCT.” Phys Med, vol. 55, Nov. 2018, pp. 56–60. Pubmed, doi:10.1016/j.ejmp.2018.10.015. Full Text
Willis, Charles E., et al. “Automated quality control assessment of clinical chest images.” Med Phys, vol. 45, no. 10, Oct. 2018, pp. 4377–91. Pubmed, doi:10.1002/mp.13107. Full Text
Smith, Taylor Brunton, et al. “Local complexity metrics to quantify the effect of anatomical noise on detectability of lung nodules in chest CT imaging.” J Med Imaging (Bellingham), vol. 5, no. 4, Oct. 2018, p. 045502. Pubmed, doi:10.1117/1.JMI.5.4.045502. Full Text
Samei, Ehsan, et al. “Medical imaging dose optimisation from ground up: expert opinion of an international summit.” J Radiol Prot, vol. 38, no. 3, Sept. 2018, pp. 967–89. Pubmed, doi:10.1088/1361-6498/aac575. Full Text
Carver, Diana E., et al. “Medical physics 3.0 versus 1.0: A case study in digital radiography quality control.” J Appl Clin Med Phys, vol. 19, no. 5, Sept. 2018, pp. 694–707. Pubmed, doi:10.1002/acm2.12425. Full Text
Samei, Ehsan, et al. “Redefining and reinvigorating the role of physics in clinical medicine: A Report from the AAPM Medical Physics 3.0 Ad Hoc Committee.” Med Phys, July 2018. Pubmed, doi:10.1002/mp.13087. 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
Lacy, tyler, et al. A Novel Methodology for Automated Image Quality Assessment of Pediatric CT. 2018.
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.
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.
Sharma, S., et al. “A Real-Time Monte-Carlo Simulation Technique for Dose and Scatter Estimation in Virtual Clinical Trials for CT Imaging.” Medical Physics, vol. 45, no. 6, WILEY, 2018, pp. E689–E689.
Rossman, A., et al. “3D printed anthropomorphic physical phantom for mammography and DBT with high contrast custom materials, lesions, and uniform chest wall region.” Progress in Biomedical Optics and Imaging Proceedings of Spie, vol. 10573, 2018. Scopus, doi:10.1117/12.2294519. Full Text