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

Ria, F., et al. “Adaptability index: Quantifying CT tube current modulation performance from dose and quality informatics.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10132, Jan. 2017. Scopus, doi:10.1117/12.2255631. Full Text Open Access Copy

Mileto, Achille, and Ehsan Samei. “Hallway Conversations in Physics.Ajr Am J Roentgenol, vol. 208, no. 1, Jan. 2017, pp. W24–27. Pubmed, doi:10.2214/AJR.16.16462. Full Text

Sanders, Jeremiah, et al. “Automated, patient-specific estimation of regional imparted energy and dose from tube current modulated computed tomography exams across 13 protocols.J Med Imaging (Bellingham), vol. 4, no. 1, Jan. 2017, p. 013503. Pubmed, doi:10.1117/1.JMI.4.1.013503. Full Text

Lakshmanan, Manu N., et al. “Accuracy assessment and characterization of x-ray coded aperture coherent scatter spectral imaging for breast cancer classification.J Med Imaging (Bellingham), vol. 4, no. 1, Jan. 2017, p. 013505. Pubmed, doi:10.1117/1.JMI.4.1.013505. Full Text

Solomon, Justin, et al. “Comparison of low-contrast detectability between two CT reconstruction algorithms using voxel-based 3D printed textured phantoms.Med Phys, vol. 43, no. 12, Dec. 2016, p. 6497. Pubmed, doi:10.1118/1.4967478. Full Text

Sanders, Jeremiah, et al. “Patient-specific quantification of image quality: An automated method for measuring spatial resolution in clinical CT images.Med Phys, vol. 43, no. 10, Oct. 2016, p. 5330. Pubmed, doi:10.1118/1.4961984. Full Text

Ikejimba, Lynda C., et al. “Assessing task performance in FFDM, DBT, and synthetic mammography using uniform and anthropomorphic physical phantoms.Med Phys, vol. 43, no. 10, Oct. 2016, p. 5593. Pubmed, doi:10.1118/1.4962475. Full Text

Tian, Xiaoyu, et al. “Estimation of Radiation Dose in CT Based on Projection Data.J Digit Imaging, vol. 29, no. 5, Oct. 2016, pp. 615–21. Pubmed, doi:10.1007/s10278-016-9869-x. Full Text

Badano, Aldo, et al. “Technical Note: Gray tracking in medical color displays-A report of Task Group 196.Med Phys, vol. 43, no. 7, July 2016, p. 4017. Pubmed, doi:10.1118/1.4953186. Full Text

Lin, Yuan, and Ehsan Samei. “Development and validation of a segmentation-free polyenergetic algorithm for dynamic perfusion computed tomography.J Med Imaging (Bellingham), vol. 3, no. 3, July 2016, p. 033503. Pubmed, doi:10.1117/1.JMI.3.3.033503. Full Text

Pages

Zhao, A., et al. “Comparison of effects of dose on image quality in digital breast tomosynthesis across multiple vendors.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10132, 2017. Scopus, doi:10.1117/12.2255570. Full Text

Robins, M., et al. “Inter-algorithm lesion volumetry comparison of real and 3D simulated lung lesions in CT.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10132, 2017. Scopus, doi:10.1117/12.2254219. Full Text

Zhao, C., et al. “Third generation anthropomorphic physical phantom for mammography and DBT: Incorporating voxelized 3D printing and uniform chest wall QC region.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10132, 2017. Scopus, doi:10.1117/12.2256091. Full Text

Hoye, J., et al. “An atlas-based organ dose estimator for tomosynthesis and radiography.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10132, 2017. Scopus, doi:10.1117/12.2255583. Full Text

Fu, W., et al. “Estimation of breast dose reduction potential for organ-based tube current modulated CT with wide dose reduction arc.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10132, 2017. Scopus, doi:10.1117/12.2255797. Full Text

Abadi, E., et al. “Airways, vasculature, and interstitial tissue: Anatomically informed computational modeling of human lungs for virtual clinical trials.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10132, 2017. Scopus, doi:10.1117/12.2254739. Full Text

Zheng, Y., et al. “Accuracy and variability of texture-based radiomics features of lung lesions across CT imaging conditions.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10132, 2017. Scopus, doi:10.1117/12.2255806. Full Text

Ria, F., et al. “SU-F-I-48: Variability in CT Scanning Over-Range Across Clinical Operation.Med Phys, vol. 43, no. 6, 2016, p. 3397. Pubmed, doi:10.1118/1.4955876. Full Text

Carver, D., et al. “TU-FG-209-07: Medical Physics 1.0 Versus Medical Physics 2.0: A Case Study.Med Phys, vol. 43, no. 6, 2016, p. 3762. Pubmed, doi:10.1118/1.4957577. Full Text

Sahbaee, P., et al. “Development of a Hausdorff distance based 3D quantification technique to evaluate the CT imaging system impact on depiction of lesion morphology.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 9783, 2016. Scopus, doi:10.1117/12.2216503. Full Text

Pages