The Career Development Component of the Emory Molecular and Translational Imaging Center (EMTIC) is designed to provide systematic, interdisciplinary, and in-depth training to academic physician-scientists, clinician-investigators, and laboratory-based scientists who wish to dedicate their efforts to in vivo cellular and molecular imaging (ICMI) research in cancer for developing their research career in this area. The trainees could be young investigators who are at the beginning stage of their career or established investigators who would like to move into ICMI of cancer. We plan to enroll 1 trainee per year and train each trainee for 2 years. In the training period, trainees will have 50% salary coverage through the EMTIC to have protected time for career development. The training program will be administered by a Career Development Steering Committee and supported by a strong educational and research environment and a productive, interdisciplinary mentoring team. Interdisciplinary by design, our training will include 3 major areas: imaging methodology, biology, and clinical application. Specific training will include didactic coursework, seminars, clinical rotation, mentored research and NIH grant writing. The overall goal of our proposed Career Development Program is to provide trainees with an interdisciplinary background and integrated research experience to prepare them for successful research careers in ICMI.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA128301-05
Application #
8382638
Study Section
Special Emphasis Panel (ZCA1-SRRB-9)
Project Start
Project End
2014-08-31
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
5
Fiscal Year
2012
Total Cost
$32,481
Indirect Cost
$11,436
Name
Emory University
Department
Type
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
Tian, Zhiqiang; Liu, Lizhi; Zhang, Zhenfeng et al. (2017) A supervoxel-based segmentation method for prostate MR images. Med Phys 44:558-569
Liu, Lizhi; Tian, Zhiqiang; Zhang, Zhenfeng et al. (2016) Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications. Acad Radiol 23:1024-46
Orza, Anamaria; Yang, Yi; Feng, Ting et al. (2016) A nanocomposite of Au-AgI core/shell dimer as a dual-modality contrast agent for x-ray computed tomography and photoacoustic imaging. Med Phys 43:589
Pike, Robert; Lu, Guolan; Wang, Dongsheng et al. (2016) A Minimum Spanning Forest-Based Method for Noninvasive Cancer Detection With Hyperspectral Imaging. IEEE Trans Biomed Eng 63:653-63
Tian, Zhiqiang; Liu, Lizhi; Zhang, Zhenfeng et al. (2016) Superpixel-Based Segmentation for 3D Prostate MR Images. IEEE Trans Med Imaging 35:791-801
Schuster, David M; Nanni, Cristina; Fanti, Stefano (2016) PET Tracers Beyond FDG in Prostate Cancer. Semin Nucl Med 46:507-521
Dance, David R; Sechopoulos, Ioannis (2016) Dosimetry in x-ray-based breast imaging. Phys Med Biol 61:R271-R304
Odewole, Oluwaseun A; Oyenuga, Oyeladun A; Tade, Funmilayo et al. (2015) Reproducibility and reliability of anti-3-[ยน?F]FACBC uptake measurements in background structures and malignant lesions on follow-up PET-CT in prostate carcinoma: an exploratory analysis. Mol Imaging Biol 17:277-83
Pike, Robert; Sechopoulos, Ioannis; Fei, Baowei (2015) A minimum spanning forest based classification method for dedicated breast CT images. Med Phys 42:6190-202
Qin, Xulei; Wang, Silun; Shen, Ming et al. (2015) Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts. Proc SPIE Int Soc Opt Eng 9415:

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