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Phase Sensitive X-ray Imaging for Cancer Diagnosis
Tuesday, March 22, 2016 - 12:30pm to 1:30pm
Food provided at 12 P.M. - 12:30 P.M.
Food reservation can be made at the ES202 front desk one week prior to each seminar.
Dr. Hong Liu - Charles and Jean Smith Chair in Biomedical
Engineering, George Lynn Cross Professor of Electrical and Computer
Engineering, Director of Advanced Medical Imaging Core Facility at
University of Oklahoma
Liu is a leading researcher in medical imaging. His current research projects include phase sensitive x-ray imaging for breast cancer diagnosis and optical and fluorescent imaging for clinical genetic diagnosis. He has published 270 scientific papers, book chapters and patents.
Dr. Liu received his college education in mechanical engineering and master training in applied physics, both in Beijing, China. He received a Ph.D. degree in biomedical engineering from Worcester Polytechnic Institute in Massachusetts. Liu was on faculty at the University of Virginia and Johns Hopkins University. He joined the faculty of the University of Oklahoma in 2000.
Radiography is one of the important imaging techniques in medicine. Conventional radiography is principally based on x-ray tissue attenuations. However, x-ray contrast can also be obtained from phasechanges. Several advanced methods are currently under investigation to image phase variations. Among them, the in-line phase sensitive x-ray imaging technique has demonstrated its clinical potential, as it can be implemented with polychromatic sources. The in-line phase-sensitive x-ray imaging measures the Laplacian of phase, leading to improved feature visualizations through edge enhancement. Furthermore, the technique allows the retrieval of tissue’s phase map, potentially enables quantitative tumor characterization. In this presentation, the basic principles of medical x-ray imaging will be introduced. The development of innovative phase-sensitive x-ray imaging prototypes; as well its clinical applications in breast cancer diagnosis will be discussed.