News & Events
Smith selected Imalogix Fellow
(2017-02-10) We are pleased to announce that we have our first Imalogix fellow, Taylor Smith. Taylor is a second year PhD student working on devising methods to assess image quality from clinical images. The selection involved concordance of both the MedPhys program and the company. This position, enabled by a grant from medInt Holdings, LLC, is to advance the science of safety and quality informatics.
Spring 2017 Open House
(2017-02-04) On February 2-4, 2017, the Medical Physics Graduate Program welcomed prospective students for the Spring Open House. This year, the program implemented Multiple-Mini Interviews (MMI), in addition to regular interviews, for both PhD and MS Candidates. The idea is that this method offers more granular, objective, and quantitative assessment of the applicant – helping us and the applicants to make better decisions. Therefore, in a large faculty and student collaborative effort, the visitors had the opportunity to learn about a wide variety of topics, ranging from research to life in Durham. Additionally, they went on tours of the hospital, Duke University campus, and downtown Durham and were treated to meals from popular restaurants around town.
Leadership Development: Implicit Bias
(2017-01-24) In continuing our leadership development series, we are pleased to announce an Implicit Bias in Healthcare and Academia Workshop for our students and faculty on January 27, 2017, from 1:30 PM to 3:00 PM in Hock Auditorium. The speaker is Paul James, Asst. Vice President of Diversity, Equity and Inclusion at Duke. He will talk about implicit bias, how it affects our work, and what we can do about it.
Truong and Darnell Receive GE Grant
(2017-01-24) Congratulations to faculty members Dr. Dean Darnell (Alumnus’15, Radiology) and Dr. Trong-Kha Truong (Radiology) for receiving a GE Healthcare Grant focused on MRI research. This research is centered on the development of novel MRI RF head coil arrays that improve the MRI main field homogeneity during functional MRI (fMRI) and structural diffusion tensor imaging (DTI), which removes geometric distortions and signal loss native to these MRI sequences.
(2017-01-19) Dr. Andre Dekker, Head Medical Physicist at MAASTRO Clinic in the Netherlands, spoke to medical physics students and faculty about Big Data in Radiation Oncology at the Distinguished Lecture Series on January 19. His research uses large datasets containing information on health history, medical images, blood tests, and other data of patients with the same cancer diagnosis with the aim of developing a better prediction model for patient outcomes that a physician will be able to utilize. A challenge he faces is getting access to quality large datasets, as many features will not be included reliably from center to center across multiple countries since many hospitals are wary of distributing that type of information, or may not even have it. For this reason, Dekker advocates for creating programs that can be sent to a medical center, learn from the data at the center, and output results without the data ever leaving the original owner.