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
Cunefare, David; Fang, Leyuan; Cooper, Robert F et al. (2017) Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks. Sci Rep 7:6620
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
Bottenus, Nick; Long, Will; Morgan, Matthew et al. (2017) Evaluation of Large-Aperture Imaging Through the ex Vivo Human Abdominal Wall. Ultrasound Med Biol :
Shah, Jainil P; Mann, Steve D; McKinley, Randolph L et al. (2017) Implementation and CT sampling characterization of a third-generation SPECT-CT system for dedicated breast imaging. J Med Imaging (Bellingham) 4:033502
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
Dibb, Russell; Xie, Luke; Wei, Hongjiang et al. (2017) Magnetic susceptibility anisotropy outside the central nervous system. NMR Biomed 30:
Cunefare, David; Cooper, Robert F; Higgins, Brian et al. (2016) Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images. Biomed Opt Express 7:2036-50
Lipman, Samantha L; Rouze, Ned C; Palmeri, Mark L et al. (2016) Evaluating the Improvement in Shear Wave Speed Image Quality Using Multidimensional Directional Filters in the Presence of Reflection Artifacts. IEEE Trans Ultrason Ferroelectr Freq Control 63:1049-1063
Bottenus, Nick; Long, Will; Zhang, Haichong K et al. (2016) Feasibility of Swept Synthetic Aperture Ultrasound Imaging. IEEE Trans Med Imaging 35:1676-85
Palmeri, Mark L; Glass, Tyler J; Miller, Zachary A et al. (2016) Identifying Clinically Significant Prostate Cancers using 3-D In Vivo Acoustic Radiation Force Impulse Imaging with Whole-Mount Histology Validation. Ultrasound Med Biol 42:1251-62

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