C o r e B : The Imaging Core will perform all MR and bioluminescence imaging studies on mouse tumor models for Projects 1 and 2. In addition, the Imaging Core is responsible for all preclinical and clinical data archiving, post-processing and analysis. Core personnel will provide services including: (a) define and implement data acquisition/imaging sequences;(b) assist with animal preparation for imaging;(c) perform all data collection on the 9.4 Tesla MRI, 7 Tesla MRI and Caliper bioluminescence imaging systems;(d) preliminary data processing/image reconstruction and quantitative analysis including PRM analysis for both preclinical (Projects 1 and 2) and clinical imaging data (Project #3) and outcomes data;(e) secure archival of raw data and network transfer of reconstructed data from off-site facilities;(f) scheduling of imaging experiments;and (g) provide support to Program Investigators in technical design and implementation of imaging experiments. These services are designed, in part, after a

National Institute of Health (NIH)
National Cancer Institute (NCI)
Research Program Projects (P01)
Project #
Application #
Study Section
Special Emphasis Panel (ZCA1-RPRB-W (J1))
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Michigan Ann Arbor
Ann Arbor
United States
Zip Code
Boes, Jennifer L; Hoff, Benjamin A; Bule, Maria et al. (2015) Parametric response mapping monitors temporal changes on lung CT scans in the subpopulations and intermediate outcome measures in COPD Study (SPIROMICS). Acad Radiol 22:186-94
Leder, Kevin; Pitter, Ken; Laplant, Quincey et al. (2014) Mathematical modeling of PDGF-driven glioblastoma reveals optimized radiation dosing schedules. Cell 156:603-16
Tsien, Christina; Cao, Yue; Chenevert, Thomas (2014) Clinical applications for diffusion magnetic resonance imaging in radiotherapy. Semin Radiat Oncol 24:218-26
Nazem-Zadeh, Mohammad-Reza; Chapman, Christopher H; Chenevert, Thomas et al. (2014) Response-driven imaging biomarkers for predicting radiation necrosis of the brain. Phys Med Biol 59:2535-47
Berezovsky, Artem D; Poisson, Laila M; Cherba, David et al. (2014) Sox2 promotes malignancy in glioblastoma by regulating plasticity and astrocytic differentiation. Neoplasia 16:193-206, 206.e19-25
Chenevert, Thomas L; Malyarenko, Dariya I; Newitt, David et al. (2014) Errors in Quantitative Image Analysis due to Platform-Dependent Image Scaling. Transl Oncol 7:65-71
Weber, Thomas G; Osl, Franz; Renner, Anja et al. (2014) Apoptosis imaging for monitoring DR5 antibody accumulation and pharmacodynamics in brain tumors noninvasively. Cancer Res 74:1913-23
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
Galbán, Craig J; Boes, Jennifer L; Bule, Maria et al. (2014) Parametric response mapping as an indicator of bronchiolitis obliterans syndrome after hematopoietic stem cell transplantation. Biol Blood Marrow Transplant 20:1592-8
Galban, Stefanie; Jeon, Yong Hyun; Bowman, Brittany M et al. (2013) Imaging proteolytic activity in live cells and animal models. PLoS One 8:e66248

Showing the most recent 10 out of 102 publications