Magnetic Resonance Imaging and Spectroscopy

Duyn, J.

Abstract

Significant improvements and developments in fast scanning techniques for functional magnetic resonance (MR) imaging of the brain have occurred during the past year. We have been able to migrate all rapid imaging and spectroscopic imaging techniques to the 3 Tesla MR units. Improvements in signal to noise are observed with MR-based spin-tagging perfusion to detect cerebral blood flow, and clinical studies are being performed comparing the results of functional imaging studies at 1.5 Tesla and 3.0 Tesla. Evaluation of a newly developed proton spectroscopic imaging (MRSI) involves the acquisition of cerebral metabolites without suppression of the water signal. MRSI without water suppression revealed a low coefficient of variation of 5–13% for intrasubject and intersubject comparisons, which is an improvement over standard MRSI techniques that use water suppression. Improvements in this new non-water-suppressed MRSI technique will allow for the addition of a second echo that may be used to segment the signal originating from cerebral spinal fluid (versus intracellular water) and provide some information about the relaxation properties of the signals from cerebral metabolites.

Funding Agency

• Agency: National Institute of Health (NIH)
• Institute: National Institute of Neurological Disorders and Stroke (NINDS)
• Type: Intramural Research (Z01)
• Project #: 1Z01NS002990-01
• Application #: 6413939
• Study Section: (CC)
• Support Year: 1
• Fiscal Year: 2000

Institution

• Name: National Institute of Neurological Disorders and Stroke
• Country: United States

Publications

van Gelderen, Peter; Jiang, Xu; Duyn, Jeff H (2017) Rapid measurement of brain macromolecular proton fraction with transient saturation transfer MRI. Magn Reson Med 77:2174-2185

Duyn, Jeff (2011) Spontaneous fMRI activity during resting wakefulness and sleep. Prog Brain Res 193:295-305

Li, Tie-Qiang; Yao, Bing; van Gelderen, Peter et al. (2009) Characterization of T(2)* heterogeneity in human brain white matter. Magn Reson Med 62:1652-7

Bianciardi, Marta; Fukunaga, Masaki; van Gelderen, Peter et al. (2009) Sources of functional magnetic resonance imaging signal fluctuations in the human brain at rest: a 7 T study. Magn Reson Imaging 27:1019-29

Horovitz, Silvina G; Fukunaga, Masaki; de Zwart, Jacco A et al. (2008) Low frequency BOLD fluctuations during resting wakefulness and light sleep: a simultaneous EEG-fMRI study. Hum Brain Mapp 29:671-82

Duyn, Jeff H; van Gelderen, Peter; Li, Tie-Qiang et al. (2007) High-field MRI of brain cortical substructure based on signal phase. Proc Natl Acad Sci U S A 104:11796-801

Shmueli, Karin; van Gelderen, Peter; de Zwart, Jacco A et al. (2007) Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal. Neuroimage 38:306-20

van Gelderen, P; de Zwart, J A; Starewicz, P et al. (2007) Real-time shimming to compensate for respiration-induced B0 fluctuations. Magn Reson Med 57:362-8

Silva, Afonso C; Koretsky, Alan P; Duyn, Jeff H (2007) Functional MRI impulse response for BOLD and CBV contrast in rat somatosensory cortex. Magn Reson Med 57:1110-8

Deckers, Roel H R; van Gelderen, Peter; Ries, Mario et al. (2006) An adaptive filter for suppression of cardiac and respiratory noise in MRI time series data. Neuroimage 33:1072-81