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.

Fingerprint Dive into the research topics where Center for Magnetic Resonance Research is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.

Magnetic Resonance Imaging Medicine & Life Sciences
Brain Medicine & Life Sciences
Magnetic Resonance Spectroscopy Medicine & Life Sciences
Magnetic Fields Medicine & Life Sciences
Visual Cortex Medicine & Life Sciences
Signal-To-Noise Ratio Medicine & Life Sciences
Protons Medicine & Life Sciences
Imaging techniques Chemical Compounds

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

No photo of Isaac M Adanyeguh

Isaac M Adanyeguh

Person: Professional-in-Training

Photo of Gregor Adriany

Gregor Adriany

Person: Faculty

19952024
No photo of Edward J Auerbach

Edward J Auerbach

Person: Faculty

19972024

Projects 1993 2024

Research Output 1965 2019

Accelerated imaging with segmented 2D pulses using parallel imaging and virtual coils

Mullen, M., Gutierrez, A., Kobayashi, N., Haupt, J. D. & Garwood, M., Aug 1 2019, In : Journal of Magnetic Resonance. 305, p. 185-194 10 p.

Research output: Contribution to journalArticle

coils
Imaging techniques
Magnetic Fields
pulses
bandwidth

Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks

Zhang, C., Moeller, S., Weingartner, S., Ugurbil, K. & Akcakaya, M., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 1636-1640 5 p. 8645313. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic resonance
Neural networks
Imaging techniques
Interpolation
Calibration

Accuracy and Reliability of Root Crack and Fracture Detection in Teeth Using Magnetic Resonance Imaging

Schuurmans, T. J., Nixdorf, D. R., Idiyatullin, D. S., Law, A. S., Barsness, B. D., Roach, S. H. & Gaalaas, L., Jun 1 2019, In : Journal of Endodontics. 45, 6, p. 750-755.e2

Research output: Contribution to journalArticle

Tooth
Magnetic Resonance Imaging
Tooth Fractures
Confidence Intervals
Artifacts