The Imaging Core (Core A) of the Emory Molecular and Translational Imaging Research Center will provide centralized access, quality control, expertise and consultation services related to state-of-theart imaging with positron emission tomography (PET), magnetic resonance (MR) techniques, and optical imaging methods. In this regard, the Core is highly integrative, being utilized by all four Research Projects, as a life laboratory for the applied portion of the Career Development Program, and by all Year 1 Pilot Projects. Core A will also have vital collaborative interactions with each of the other 3 core resources. Substantial physical and instrumentation resources available to EMTIC investigators include high resolution human PET (Project #1;Pilot #4), microPET (Project #2), high-field animal and human MR systems (Project #3, Pilot #3), computed tomography (Pilot #5), and optical imaging systems (Projects #1, 3, 5, Pilot #2). Core A will provide the infrastructure to ensure coordinated access, support and acceleration of methodological developments needed to optimize and translate cellular and molecular imaging techniques to clinical settings. The mission and objectives of Core A includes supporting both the day-to-day needs of EMTIC investigators as well as fostering the development of new methods and imaging techniques including refinement of magnetic nanoparticle tracer technology and implementation and protocol design for a prototype combined MR/PET device, for which Emory will be one of two initial North American installation sites.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA128301-03
Application #
8135469
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2010-09-01
Budget End
2011-08-31
Support Year
3
Fiscal Year
2010
Total Cost
$203,448
Indirect Cost
Name
Emory University
Department
Type
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
Akin-Akintayo, Oladunni; Tade, Funmilayo; Mittal, Pardeep et al. (2018) Prospective evaluation of fluciclovine (18F) PET-CT and MRI in detection of recurrent prostate cancer in non-prostatectomy patients. Eur J Radiol 102:1-8
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

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