The Administrative Core provides all the administrative functions necessary for the Program Project Grant (PPG). These functions specific to the PPG include: ? Scheduling/reserving rooms/resources for PPG-specific scientific presentations, journal club and administrative meetings, ? Assisting Project Core Directors with acquisitions, ? Resolving problems that have an impact on the PPG, ? Reference database management for the whole PPG, ? Accumulation and production of annual progress reports for the External Advisory Committee review, ? Arranging the travel, housing, reimbursement and honorarium for the annual External Advisory Committee meeting, ? Production of transcription of External Advisory Committee minutes, ? Reviews of PPG-specific Publications/Presentations, ? IRBapplications andrenewals, ? Management of the PPGPurchase Card ? Long range scientific andadministrative planning ? Maintaining space andasset data for the PPG

Public Health Relevance

This core will provide program management for the successful development of state-of-the-art imaging, registration, and quantitative imaging techniques for the management of individual clinical cancer patient's therapy.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA087634-10
Application #
8445398
Study Section
Special Emphasis Panel (ZCA1-GRB-P)
Project Start
Project End
2015-02-28
Budget Start
2013-03-01
Budget End
2014-02-28
Support Year
10
Fiscal Year
2013
Total Cost
$130,151
Indirect Cost
$64,963
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Nataraj, Gopal; Nielsen, Jon-Fredrick; Fessler, Jeffrey (2016) Optimizing MR Scan Design for Model-Based T1, T2 Estimation from Steady-State Sequences. IEEE Trans Med Imaging :
Larson, Eric D; Lee, Won-Mean; Roubidoux, Marilyn A et al. (2016) Automated Breast Ultrasound: Dual-Sided Compared with Single-Sided Imaging. Ultrasound Med Biol 42:2072-82
Berisha, Visar; Wisler, Alan; Hero, Alfred O et al. (2016) Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure. IEEE Trans Signal Process 64:580-591
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Galbán, Craig J; Ma, Bing; Malyarenko, Dariya et al. (2015) Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy. PLoS One 10:e0122151
Brisset, Jean-Christophe; Hoff, Benjamin A; Chenevert, Thomas L et al. (2015) Integrated multimodal imaging of dynamic bone-tumor alterations associated with metastatic prostate cancer. PLoS One 10:e0123877
Muckley, Matthew J; Noll, Douglas C; Fessler, Jeffrey A (2015) Fast parallel MR image reconstruction via B1-based, adaptive restart, iterative soft thresholding algorithms (BARISTA). IEEE Trans Med Imaging 34:578-88
Zhao, Feng; Fessler, Jeffrey A; Wright, Steven M et al. (2014) Regularized estimation of magnitude and phase of multi-coil b1 field via Bloch-Siegert B1 mapping and coil combination optimizations. IEEE Trans Med Imaging 33:2020-30
Boes, Jennifer L; Hoff, Benjamin A; Hylton, Nola et al. (2014) Image registration for quantitative parametric response mapping of cancer treatment response. Transl Oncol 7:101-10
Watanabe, Takanori; Kessler, Daniel; Scott, Clayton et al. (2014) Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine. Neuroimage 96:183-202

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