News & Events

Adam Wax's Mission to Create OCT

(2017-12-01) Dr. Adam Wax (BME) describes his mission to create a profitable, low-cost optical coherence tomography (OCT) imaging device in recently published article in The Translational Scientist. Dr. Wax stays that with OCT we use light, which moves much more quickly – so you can’t just time it with an electronic stopwatch. The result is a device about the size of a shoebox that costs under $10,000, which essentially allows doctors to visit remote locations or perhaps a retirement home, where patients are less mobile, and scan 30 or 40 people in a single session. (Read the article here)


New Grant - NC Biotech Center

(2017-12-01) Dr. Anuj Kapadia (Radiology) along with co-investigator Dr. Joel Greenberg (ECE) received a new 1.5-year grant from the NC Biotech Center titled “Rapid X-ray diffraction imaging for improved tissue analysis in pathology applications”. The project proposes to build a new X-ray diffraction scanner for previously unexplored applications in pathology and ex-vivo diagnostics. The grant will facilitate building a new device prototype, testing its performance in collaboration with Duke Pathology, and demonstrating its utility in improving the pathology clinical workflow. In addition to Drs. Kapadia and Greenberg, the grant involves collaborators from Duke Pathology (Dr. Shannon McCall) and the Duke Office of Licensing and Ventures (OLV). For more information please contact Dr. Kapadia at .   


RadOnc Residency Opening 2018

(2017-12-01) Duke Health is now accepting qualified applicants for the Medical Physics Residency Department in the Radiation Oncology Department. Applications must be submitted online through the AAPM Common Application Program (MP-RAP) and register with the Medical Physics Residency Matching Program (MedPhys Match), and include a CV and three reference letters.

One training position will be available starting July 1, 2018 in the Medical Physics Residency program. Duration of the program is 2 years for clinical training. Successful applicants will be recent graduates of medical physics or closely related graduate programs. Both M.S. and Ph.D. degrees will be considered. The program is primarily clinical training, but includes research and educational components (based on the background, the selected candidate may be required to take courses in the Medical Physics Graduate program). The program is CAMPEP accredited. For more information, please see:

Applications must be received by December 15, 2017.


3D Conformal Treatment Technique

(2017-11-17) The article by Suk Whan (Paul) Yoon (PhD candidate, advisor Dr. Oldham) and his co-authors, "A precision 3D conformal treatment technique in rats: application to whole brain radiotherapy with hippocampal avoidance," was featured in on November 10th. The Duke team has developed a novel 3D conformal treatment technique to deliver WBRT in laboratory rats. Their most recent implementation of this technique incorporates several innovations, including high-precision 3D-printed immobilization and conformal radiation blocks and high-resolution MRI atlases, to achieve hippocampal avoidance (HA) WBRT. (Read the article here)



New Siemens Grant Awarded

(2017-11-17) Dr. Ehsan Samei (Radiology) has received a new three-year grant from Siemens Medical Solutions titled “Optimal design of CT protocols based on task-based image quality”. The modern CT systems offer immense flexibility in the way a patient image can be acquired. This flexibility is offered through a range of acquisition and reconstruction parameters that impact the resulting image quality as well as dose. The multi parametric space of image acquisition, while flexible, is complex to navigate.  This is primarily due to the fact that the parameters are generally based on technological aspects of image acquisition, while the goal of optimal imaging is a desired level of image quality and safety.  The correspondence between the scan parameter space and image quality-safety space is not straightforward due to the multi-dimensional reality of both spaces.  The goal of this project is to devise a metrology based on fundamentals of image quality that can inform the optimal design of CT acquisition protocol.  The idea is that, based on the current science of image quality, a set of indices can be devised that capture the expected image quality of a CT acquisition prior to an exam. The indices can thus be used as a tool to guide the selection of the scan parameters towards targeted image quality criteria.