The overall long-term goal ofthe Center for Magnetic Resonance and Optical Imaging (CMROI) is to develop cutting edge core Magnetic Resonance and Optical imaging technologies in support of the biomedical research community at the University of Pennsylvania and other institutions across the country to address clinical problems and to further the fundamental understanding of biophysical, physiological, structural, and functional properties of biological systems. Based on the driving biomedical projects identified by our collaborators, we developed the following four broad areas of Technological Research and Development (TR&D): The first TR&D project deals with the development of novel rotating frame MRI techniques for studying the structural, biochemical and metabolic aspects of cartilage, brain, and tumors, with direct application to Arthritis, Alzheimer's Disease and cancer. The second TR&D focuses on the development of quantitative perfusion MRI at ultra high field {7T) scanners, real time fMRI as well as methods for integrating perfusion MRI with optical imaging for the study of stroke and neurodegeneration. The 3rd TR&D develops novel image reconstruction strategies to overcome artifacts due to motion and to quantify the rapid dynamics of contrast agents in cancer and to acquire dynamic hyperpolarized gas MRI of the lungs. The final TR&D develops multi-modal state-of-the-art instrumentation combining optical imaging and MRI, and develops diffuse correlation spectroscopy (DCS) for blood flow monitoring/imaging of diseased tissues in stroke and breast cancer. The Resource emphasizes clinical translation of its TR&D work and actively collaborates on ongoing research projects. It provides service in the use of state-of-the-art MRI including a whole-body 7T research MRI scanner, optical imaging and hyperpolarized gas imaging systems, and software resources developed by the Resource. The Resource also maintains an extensive training and dissemination program in biomedical imaging and a dedicated wiki-based website. The Resource within the auspices of the Radiology department at the University of Pennsylvania remains committed to intellectual interchange and the interdisciplinary pursuit of basic and clinical medicine.

Public Health Relevance

Imaging technologies developed by the resource will have substantial impact on fundamental understanding, early diagnosis, and development of novel therapies for several diseases including Alzheimer's Disease, Arthritis, Cancer, Stroke, and chronic obstructive pulmonary disease (COPD).

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
8P41EB015893-28
Application #
8261320
Study Section
Special Emphasis Panel (ZRG1-SBIB-Q (40))
Program Officer
Liu, Christina
Project Start
1997-09-30
Project End
2015-05-31
Budget Start
2012-06-01
Budget End
2013-05-31
Support Year
28
Fiscal Year
2012
Total Cost
$1,331,290
Indirect Cost
$497,548
Name
University of Pennsylvania
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
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Parthasarathy, Ashwin B; Gannon, Kimberly P; Baker, Wesley B et al. (2018) Dynamic autoregulation of cerebral blood flow measured non-invasively with fast diffuse correlation spectroscopy. J Cereb Blood Flow Metab 38:230-240
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Cochran, Jeffrey M; Busch, David R; Leproux, Anaïs et al. (2018) Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment. J Biomed Opt 24:1-11
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Zhou, Rong; Bagga, Puneet; Nath, Kavindra et al. (2018) Glutamate-Weighted Chemical Exchange Saturation Transfer Magnetic Resonance Imaging Detects Glutaminase Inhibition in a Mouse Model of Triple-Negative Breast Cancer. Cancer Res 78:5521-5526
Lynch, Jennifer M; Ko, Tiffany; Busch, David R et al. (2018) Preoperative cerebral hemodynamics from birth to surgery in neonates with critical congenital heart disease. J Thorac Cardiovasc Surg 156:1657-1664
Shah, Preya; Bassett, Danielle S; Wisse, Laura E M et al. (2018) Mapping the structural and functional network architecture of the medial temporal lobe using 7T MRI. Hum Brain Mapp 39:851-865

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