News & Events

The Optical Society Awardee 2018

(2018-02-23) Congratulations to Dr. Warren S. Warren, PhD (Physics), for being awarded William F. Meggers Award from the Optical Society. The award honors researchers for outstanding work in the field of spectroscopy, and Dr. Warren's was recognized for pioneering development of “coherent” spectroscopic methods -- approaches which use highly controlled light, such as tailored laser pulses less than a trillionth of a second long, or complex pulse sequences.  His work bridges two quite different domains, magnetic resonance (where he works to improve the sensitivity of MRI machines) and coherent optics (where his lab develops methods to extract new molecular information about cancerous tissue such as melanoma).


Announcing Distinguished Lecture

Jan Lagendijk, PhD, UMC Utrecht

Professor of Radiation Oncology Physics

“The MRI Linac: Towards Robotic Real-Time MRI Guided Radiotherapy”

Feb 15, 2018; 2:30 PM; Bryan Research Bld. Auditorium

Reception and townhall discussion will follow



Spring 2018 Open House

(2018-02-09) On February 1-3, 2018, over 25 MS and PhD applicants visited Duke Medical Physics Program for the interviews and Spring Open House. Following the success from last year, the program implemented Multiple-Mini Interviews (MMI) this year for all the candidates in addition to multiple faculty-candidate interactions during the weekend. Candidates also attended multiple forums with students and alumni serving as panelists, a hospital tour, and had the opportunity to explore the historic Duke University West Campus and downtown Durham.




2017 SEAAPM Best Paper Award

(2018-02-09) Congratulations for Dr. Winslow (Radiology), Yakun Zhang (MS’2012), and Dr. Samei (Radiology) for having their paper selected as the SEAAPM Best Publication for diagnostic imaging physics! In this article titled “A method for characterizing and matching CT image quality across CT scanners from different manufacturers”, researchers quantitatively characterize the fundamental aspects of image quality (IQ) associated with different computed tomography (CT) reconstruction algorithms, the resolution, noise texture, noise magnitude per dose, and use those data to devise a methodology to match IQ between different CT systems. (Read the article here)


Machine Learning in Medicine

(2018-02-09) Udo Hoffmann, MD (Harvard) recently delivered a distinguished lecture, titled “Machine Learning and Population Imaging – The Next Frontier of Cardiovascular Medicine.” In his talk, Prof. Hoffmann explained about many of the current challenges and implementation of machine learning in medical research, especially in cardiovascular and population studies. This is important as around 80% of all patients receive some sort of imaging, which greatly burdens health care professionals in clinical setting. He added that the current image segmentation and analytic strategies are inadequate to capture the complexity of diseases, even though recent advances have increased computer capacities and created opportunities to analyze multi-level patient data. In addition, Prof. Hoffmann discusses machine-learning-based Phenomaping as one of the most promising technologies to automate image assessment and identify new biomarkers, both of which are important in complex disease pathology. The lecture was then immediately followed by townhall discussion, where students were able to ask follow-up questions regarding the role of medical physicists in machine learning research and other career-related questions.