Projects per year
Organization profile
Organization profile
CMRR is an interdepartmental and interdisciplinary research laboratory that provides state-of-the-art instrumentation, expertise, and infrastructure to carry out biomedical research utilizing the unique capabilities provided by high field MRI and MRS methodology. The central aim of the research conducted in CMRR is to non-invasively obtain functional, physiological, and biochemical information in intact biological systems, and use this capability to probe biological processes in health and disease.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Profiles
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Early Detection and Monitoring of Osteonecrosis of the Femoral Head
Johnson, C. P., Carlson, C. S., Cheng, E. Y., Ellermann, J. M., Moeller, S., Rendahl, A. & Toth, F.
NIH NIAMS NATL INST OF ARTHRIT
3/1/23 → 1/31/28
Project: Research project
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MB-SWIFT as a novel approach for simultaneous functional imaging of the brain and spinal cord
NIH NAT INST OF NEURO DISORDERS & STROKE
1/1/23 → 11/30/26
Project: Research project
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1H magnetic resonance spectroscopic imaging of deuterated glucose and of neurotransmitter metabolism at 7 T in the human brain
Bednarik, P., Goranovic, D., Svatkova, A., Niess, F., Hingerl, L., Strasser, B., Deelchand, D. K., Spurny-Dworak, B., Krssak, M., Trattnig, S., Hangel, G., Scherer, T., Lanzenberger, R. & Bogner, W., 2023, (Accepted/In press) In: Nature Biomedical Engineering.Research output: Contribution to journal › Article › peer-review
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A 32-Channel Sleeve Antenna Receiver Array for Human Head MRI Applications at 10.5 T
Woo, M. K., DelaBarre, L., Waks, M., Lagore, R., Kim, J., Jungst, S., Eryaman, Y., Ugurbil, K. & Adriany, G., 2023, (Accepted/In press) In: IEEE Transactions on Medical Imaging. p. 1 1 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Assessing post-traumatic changes in cartilage using T1ρ dispersion parameters
Elsayed, H., Karjalainen, J., Nissi, M. J., Ketola, J., Kajabi, A. W., Casula, V., Zbýň, Š., Nieminen, M. T. & Hanni, M., Apr 2023, In: Magnetic Resonance Imaging. 97, p. 91-101 11 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations
Datasets
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MRS fitting challenge data setup by ISMRM MRS study group
Marjanska, M., Deelchand, D. K. & Kreis, R., Data Repository for the University of Minnesota, Apr 16 2021
https://hdl.handle.net/11299/219377
Dataset
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fracridge: fractional ridge regression
Kay, K. N. & Rokem, A., ZENODO, 2022
DOI: 10.5281/zenodo.6565572, https://zenodo.org/record/6565572
Dataset
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Supplement to: Hippocampal neurochemical profile and glucose transport kinetics in patients with type 1 diabetes
Bednařík, P., Henry, P., Khowaja, A., Rubin, N. T., Kumar, A., Deelchand, D. K., Eberly, L., Seaquist, E. R., Oz, G. & Moheet, A., ZENODO, 2020
DOI: 10.5061/dryad.wstqjq2h0, https://zenodo.org/record/4965372
Dataset