News & Events

MEDPHYS Orientation Week

(2017-08-18) On August 14, 2017, the new coming MedPhys class was welcomed by the sound of Dr. Reiman's family historical school bell dated back to 1870's. The Orientation Week was started with informative presentations orchestrated by Dr. Samei, the Program Director, and Dr. Kapadia, DGS. Therefore, three important workshop topics are covered during the orientation: a medical physics math workshop by Dr. Dean Darnell (Class 2015/Radiology), which covers mathematics and statistics concepts that will be utilized in classes during the semester; a computational imaging workshop by Kyle Lafata (PhD student), that reinforces the math concepts in a computing environment; and Latin Terminology workshop by Dr. Reiman (Radiology), which covers the fundamentals of Latin terminology used in medical professions.

 

Radiation Dosimetry Lab News

(2017-08-18) U.S. Patent entitled, “linear-response nanocrystal scintillators and methods of using the same,” was issued to Dr. Terry Yoshizumi (Radiology), Ian Stanton, and Dr. Mike Therien (Chemistry). This new technology has created opportunities to monitor radiation dose in real-time in brachytherapy, external beam therapy, and small animals due to its small size. By using nano-scintillators, it is possible to create calibration data to correlate radiation dose and measured light, which may be used to directly determine a corresponding dose for a measured light signal or to create a linear model from which the corresponding dose to a measured light value can be calculated. Currently Drs. Yoshizumi and Therien are exploring new applications in neutron detection and 2-D neutron and photon imaging plate.

From left to right: Dr. Junzo Chino (Rad Onc collaborator), Dr. Therien (Co-Inventor), and Dr. Yoshizumi (Co-inventor)

 

New Mercury Phantom in Production

(2017-08-04) Gammex, Sun Nuclear Corporation has licensed the latest Mercury 4.0 Phantom that has been designed by Dr. Ehsan Samei (Radiology).  The new phantom concept for automatic exposure control was created to meet next generation computed tomography (CT) quality control (QA) needs, such as advanced image quality assessment techniques, including task-based metrology; performance evaluation of iterative reconstruction techniques; performance and effectiveness of automatic tube current modulation techniques.

 

Best in Physics Award Winners

(2017-08-04) Congratulations to Leith Rankine (PhD student) and James Spencer (MS 2017) for being awarded BEST IN PHYSICS at the AAPM 2017 Annual Meeting, scoring highest in the abstract review process and judged by the Scientific Program Directors to reflect the highest level of scientific quality and innovation.

Leith Rankine and his colleagues used a novel Magnetic Resonance Imaging (MRI) technique to measure and compare spatial distributions of lung ventilation and gas exchange in humans. Read abstract here.

James Spencer and his colleagues show the first comparisons of fresh and formalin-fixed specimens to pathologist-assessed H&E histology to detect breast cancer through diffraction imaging. The results exhibit the coherent-scatter diffraction imaging system’s ability to distinguish and identify cancerous tissue using principles of x-ray diffraction. Read abstract here.

 

GE to License RAILabs Technology

(2017-08-04) GE Healthcare has licensed Computed Tomography (CT) organ dosimetry technology developed at Duke University. The development of the tool was led by Dr. W. Paul Segars and Dr. Ehsan Samei (Radiology). The technology will be incorporated into an organ dose module within GE’s DoseWatchTM, a digital informatics solution that automatically collects, monitors, and reports on radiation dose indices for diagnostic imaging exams. DoseWatch is used by healthcare providers around the world to reduce variation in practice, help ensure patient safety, and drive compliance with government regulations and accreditation requirements. The new tool will provide the CT study acquisition information for the organ dose calculation, as well as the machine-learning technology to accurately match a patient with his or her electronic counterpart. According to GE Sr. Medical Physicist, Dr. David Miller, “This is a big step towards accurate, personalized radiation dose for the CT patient. Doing organ dose right requires precise modeling of both the patient and the radiation field. The combination of GE and Duke technology will bring significant improvements in patient modeling, account for tube current modulation, and provide an estimation of dose to tissues outside the field of view.“