News & Events

Samei & Segars Receive NIH R01 Grant

(2017-03-10) Congratulations to Ehsan Samei and W. Paul Segars (Radiology) on receiving an NIH R01 grant for their project "Precision Cardiac CT: Development of a Computational Platform for Optimizing Imaging". As a strong collaboration with the cardiology teams at Duke Health Care and Massachusetts General Hospital, the grant focuses on making cardiac CT more precise and quantitative for characterization of plaques and stenosis.

 

 

 

McCollough from Mayo Visits Duke

(2017-03-10) Cynthia H. McCollough, Professor of Medical Physics and Biomedical Engineering and Director of the CT Clinical Innovation Center and X-ray Imaging Core at the Mayo Clinic, visited Duke University Medical Physics Graduate Program. In her lecture, she discussed photon counting detectors and their future in CT imaging. After the seminar, Q&A session took place in the Medical Physics Graduate Program office, where students had an opportunity to discuss Tube Current Modulation (TCM) dose estimation, lung modeling and Xcat, cardiac imaging, and how to become a suspenseful leader in the field of Medical Physics.

The research interests of Cynthia H. McCollough, Ph.D., revolve around the technology of CT imaging and its many clinical applications. As director of Mayo Clinic's CT Clinical Innovation Center, Dr. McCollough leads a multidisciplinary team of physicians, scientists, research fellows and graduate students on projects seeking to detect and quantify disease using CT imaging. She has particular expertise in the use of CT for quantitative assessment of material composition, disease progression or regression, and organ function, as well as methods to quantify and reduce patient dose.

 

 

Oldham Awarded SEAAPM Paper of The Year

(2017-03-10) On February 25, 2017, at 2017 SEAAPM Symposium & Scientific Meeting in Charleston, SC, Dr. Mark Oldham (Radiation Oncology) and his co-authors received 2017 Paper of the Year Award for “X-Ray Psoralen Activated Cancer Therapy (X-PACT)”. This innovative research investigates a new approach for the treatment of solid cancer using psoralen, a potent anti-cancer therapeutic. X-PACT overcomes prior challenges due to psoralen therapy’s limited penetration in tissue by activating psoralen with UV light emitted from novel phosphors that absorb x-rays and re-radiate at UV wavelengths. This in turn unleashes both short- and potentially long-term antitumor activity of photo-active therapeutics. The results on various cell lines demonstrate a potential therapeutic effect for X-PACT and provide a foundation and rationale for future studies.

 

 

Dr. Adam Wax's debut with low-cost OCT scanner

(2017-02-22) Congratulations to Dr. Adam Wax (BME) and the rest of the Lumedica team on debuting a new low-cost optical coherence tomography (OCT) scanner at the BiOS Expo at the SPIE Photonics West conference in San Francisco in early February. The developers hope this more affordable scanner will dramatically extend the impact of OCT imaging technology for eye health and aims to sell the systems for $10,000, a significant difference to the typical entry-level equipment cost of at least $35,000. Lumedica is hoping to raise around $500,000 to further reduce the size of the scanner equipment to make it more portable and eventually develop even cheaper systems for more widespread use by optometrists for “red flag” diagnostics, picking up early signs of diseases like glaucoma and diabetic retinopathy. (Read more)

 

Solomon Paper on Cover of Medical Physics

(2017-02-22) Congratulations Dr. Solomon (Alum'16, Radiology), and co-authors, for being featured on the December 2016 cover of Medical Physics. This paper describes a new 3D printing method that was developed and used to fabricate novel CT phantoms (test objects) containing volumetric textures. Traditional phantoms have uniform backgrounds making them overly artificial compared to real clinical images. The texture in these new phantoms is based on CT scans of the liver making them much more realistic. The phantoms were then used to see how image quality is affected by texture for several CT image reconstruction algorithms.

Solomon J, Ba A, Bochud F, Samei E: Comparison of low-contrast detectability between two CT reconstruction algorithms using voxel-based 3D printed textured phantoms, Medical Physics Volume 43, Issue 12 December 2016 Pages 6497–6506.