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 program has 68 current students and it has granted over 100 PhD's in the field over the past 35 years. Both Departments are poised for significant growth in medical imaging in the next 5 years. In addition, we propose a new emphasis on molecular imaging during the proposed funding period, based on the establishment of a new Center for Molecular and Biomolecular Imaging at Duke University. The Center will hire at least 3 new imaging faculty in molecular imaging in the next 1-2 years and establish several new imaging courses and workshops. We propose to integrate these new educational and research efforts into the Medical Imaging Training Program (MITP). The 22 current training faculty provide broad research opportunities with research interests in computer-aided diagnosis, x-ray, CT, MRI, ultrasound, nuclear medicine, optical imaging methods, biomolecular imaging, and medical physics. Through the MITP, we supported 4 students Year 1 and 8 students each year thereafter. We have successfully recruited two minority students as trainees. Trainees are funded in the first two years of graduate study and undertake a comprehensive curriculum providing initially broad training in medical physics and instrumentation followed by increasingly focused coursework in the student's area of specialization. The development of all of the trainees as independent and successful researchers is strongly evidenced by their publication records and their receipt of competitive education funding awards. Accomplishments of this program include: 1) the development and continued availability of a Radiology in Practice course which pairs students with a series of practicing radiologists in various specialties;2) a broad, continuing exposure to issues related to Responsible Conduct in Research, including two-workshops on ethics related specifically to Biomedical Engineering;3) a year-long continuing Medical Imaging Seminar Series, taken by second year students, that exposes students the wide medical imaging research activities at Duke and other institutions;4) sponsored student travel to scientific meetings on medical imaging;5) development of two new courses;6) the development of an Internship Program;7) 72 trainee publications;and 8) development of the Emerging Methods in Medical Imaging program.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Institutional National Research Service Award (T32)
Project #
5T32EB001040-10
Application #
8499300
Study Section
Special Emphasis Panel (ZEB1-OSR-E (M1))
Program Officer
Baird, Richard A
Project Start
2003-07-15
Project End
2014-06-30
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
10
Fiscal Year
2013
Total Cost
$244,083
Indirect Cost
$14,522
Name
Duke University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Dubose, Theodore B; Cunefare, David; Cole, Elijah et al. (2018) Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence Tomography. IEEE Trans Med Imaging 37:1978-1988
Holbrook, M; Clark, D P; Badea, C T (2018) Low-dose 4D cardiac imaging in small animals using dual source micro-CT. Phys Med Biol 63:025009
Long, Will; Hyun, Dongwoon; Choudhury, Kingshuk Roy et al. (2018) Clinical Utility of Fetal Short-Lag Spatial Coherence Imaging. Ultrasound Med Biol 44:794-806
Long, Will; Bottenus, Nick; Trahey, Gregg E (2018) Lag-One Coherence as a Metric for Ultrasonic Image Quality. IEEE Trans Ultrason Ferroelectr Freq Control 65:1768-1780
Soltanian-Zadeh, Somayyeh; Gong, Yiyang; Farsiu, Sina (2018) Information-Theoretic Approach and Fundamental Limits of Resolving Two Closely Timed Neuronal Spikes in Mouse Brain Calcium Imaging. IEEE Trans Biomed Eng 65:2428-2439
Shah, Jainil P; Mann, Steve D; McKinley, Randolph L et al. (2018) Characterization of CT Hounsfield Units for 3D acquisition trajectories on a dedicated breast CT system. J Xray Sci Technol 26:535-551
Bottenus, Nick; Long, Will; Morgan, Matthew et al. (2018) Evaluation of Large-Aperture Imaging Through the ex Vivo Human Abdominal Wall. Ultrasound Med Biol 44:687-701
Bottenus, Nick (2018) Recovery of the Complete Data Set From Focused Transmit Beams. IEEE Trans Ultrason Ferroelectr Freq Control 65:30-38
Dibb, Russell; Liu, Chunlei (2017) Joint eigenvector estimation from mutually anisotropic tensors improves susceptibility tensor imaging of the brain, kidney, and heart. Magn Reson Med 77:2331-2346
Heyde, Brecht; Bottenus, Nick; D'hooge, Jan et al. (2017) Evaluation of the Transverse Oscillation Technique for Cardiac Phased Array Imaging: A Theoretical Study. IEEE Trans Ultrason Ferroelectr Freq Control 64:320-334

Showing the most recent 10 out of 92 publications