Draft:Ehsan Samei

Ehsan Samei is an Iranian–American professor of medical physics. Born in Tehran, Iran, in 1967, he currently holds the Reed and Martha Rice Distinguished Professorship of Radiology at Duke University.

Early life and education
Ehsan Samei was born on January 26, 1967, in Tehran, Iran. He graduated from Sadr High School in Tehran in 1984 with a diploma in Physics and Mathematics. His higher education started at the Georgia Institute of Technology in Atlanta, Georgia, where he obtained a Master of Science in Medical Physics in 1993. He furthered his studies at the University of Michigan in Ann Arbor, earning a Master of Engineering in Radiological Health Engineering in 1995 and a Ph.D. in Nuclear Science (Radiation Measurement and Imaging) in 1997.

Research and career
Samei's scientific work primarily focuses on X-ray imaging, theoretical imaging models, and medical image formation.

His research includes the development of methods for imaging performance characterization, procedural optimization, and clinical dose and quality analytics.

After completing his graduate studies in medical physics and radiological health engineering, Samei served in the Medical University of South Carolina as an Assistant Professor and Technical Director in Radiology Informatics.

In 2000, Samei joined Duke University's Department of Radiology. He took on multiple roles, including Assistant Professor, Director of the Carl E. Ravin Advanced Imaging Laboratories, and Director of the Center for Virtual Imaging Trials (CVIT).

Awards
Ehsan Samei has garnered multiple fellowships from organizations such as AAPM, SPIE, AIMBE, IOMP, and ACR, acknowledging his contributions to the field. Holding the distinguished Reed and Martha Rice Distinguished Professorship of Radiology at Duke University, he has also been recognized for his leadership roles in various societies, including the SEAAPM, SDAMPP, and AAPM.

Selected publications
Ehsan Samei has published numerous research publications. Some of his notable publications are listed below:
 * A method for measuring the presampled MTF of digital radiographic systems using an edge test device.
 * Low-tube-voltage, high-tube-current multidetector abdominal CT: improved image quality and decreased radiation dose with adaptive statistical iterative reconstruction algorithm.
 * Towards task‐based assessment of CT performance: system and object MTF across different reconstruction algorithms.
 * An experimental comparison of detector performance for direct and indirect digital radiography systems.
 * Assessment of display performance for medical imaging systems: executive summary of AAPM TG18 report.