Magnetic Resonance Imaging Technology Development

Duyn, Jozef H.

Abstract

During 2007-2008 progress was made primarily in the following areas. Head motion compensation based on stereovision with 2 video cameras was further improved and optimized for high resolution gradient echo imaging. The method was demonstrated to allow compensation for head motion in the range of 10mm translation and 10 degrees rotation. Simulations of detector arrays were performed to estimate potential available further improvements in sensitivity. It was found that minimization of conductor and pre-amplifier noise, combined with development of detectors with more elements will lead to a 50-100% improvement in sensitivity in peripheral brain regions. Initial experiments are underway to test the feasibility of achieving the required noise reductions. In addition, detector arrays specialized for imaging of brain tissue samples were developed and used to obtain high resolution data for correlation with histology. Lastly, techniques were developed to improve detection of brain activity by improving estimates of noise sources. This has led to up to 100% improvements in sensitivity for the detection of brain activity in the response to visual stimulation

Funding Agency

• Agency: National Institute of Health (NIH)
• Institute: National Institute of Neurological Disorders and Stroke (NINDS)
• Type: Intramural Research (Z01)
• Project #: 1Z01NS002990-09
• Application #: 7735290
• Support Year: 9
• Fiscal Year: 2008
• Total Cost: $1,288,285

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