NIH Grant #T32-EB001040

UPCOMING EVENT 

Medical Imaging Technology Fair

October 15, 2014  1:30pm -5:30pm
Bryan Research Building for Neurobiology Auditorium, Rm 103

Reception following the program. There is neither a fee nor a registration process for this event.

 The Imaging Technology Fair will highlight the exciting contributions of some of our younger faculty, and inform the basic and clinical science communities about the extraordinary imaging resources available at Duke.

Speakers

•    Alexandra Badea (CIVM):   Quantitative Phenotyping Based on Small Animal Imaging
•    Sina Farsiu (BME/Ophthalmology):   Smart Clinical Imaging and Image       Processing
•    Chunlei Liu (Brain Imaging & Analysis Center):   Susceptibility Imaging
•    Anthony Kuo (Ophthalmology):   Optical Coherence Tomography of the Eye: Applications for Clinical Metrology and Surgery
•    Mark Palmeri (BME):   Ultrasonic Tissue Elasticity Imaging: Numerical, Experimental and Clinical Development
•    Thomas Theis (Chemistry):   Hyperpolarization Techniques and Long-lived Spin States for Molecular MR

Posters

•    Students and post-docs are invited to present posters
•    "Dinner-for-2" prizes will be awarded for each category: Best poster - overall, Most exciting new imaging technology, Most exciting new image-processing technology
•    Contact sally.zimney@duke.edu to arrange displaying your poster

Sponsored by the Biomedical Engineering Medical Imaging Training Program and the Center for In Vivo Microscopy.

http://www.civm.duhs.duke.edu/training/ImgTechFair.html

For more information:  joanne.grosshans@duke.edu

 

 

Predoctoral Training in Medical Imaging at Duke 

The purpose of the Medical Imaging Training Program is to prepare students for interdisciplinary research at the cutting edge of medical imaging. Students participating in the program are funded for the first two years of graduate studies. Trainees undertake a comprehensive curriculum providing an initial broad training in medical physics and instrumentation followed by increasingly focused coursework in the student's area of specialization.

Predoctoral training in medical imaging is a large and vigorous effort at Duke University, drawing chiefly on the resources of the Departments of Biomedical Engineering and Radiology.  The 20 participating training faculty provide broad research opportunities with research interests in computer-aided diagnosis, x-ray, CT, MRI, ultrasound, nuclear medicine, optical imaging methods, and medical physics.

Training faculty are housed in the Pratt School of Engineering, the Department of Radiology, the Brain Imaging and Analysis Center, the Center for In Vivo Microscopy, the Center for Molecular and Biomolecular Imaging, the Multi-Modality Imaging Lab, and the Duke Advanced Imaging Laboratories. These faculty have a long history of collaboration in imaging research and graduate student training.