Magnetic Resonance Imaging (MRI) has been well established for non-invasive measurement of dynamic physiological process, such as neuronal activation coupled to relatively slow hemodynamic responses at temporal resolution of seconds. Due to the advantages of RF technology, particularly multiple channel RF array systems, MRI can obtain spatial information embedded in the RF coil array directly with minimal phase encoding steps. This potentially enables order- of-magnitude acceleration or minimal acoustic noise during data acquisitions because of minimal gradient switching. In this grant, we propose the dynamic inverse imaging (InI) to achieve millisecond temporal resolution. InI is implemented based on the large-N array coil technology, modified pulse sequence in contrast preparation and data acquisition, as well as image reconstruction algorithms inspired by electroencephalography (EEG) and magnetoencephagraphy (MEG) in to order to generate time-resolved statistical inference on dynamics of the MR measurements. In this proposal, we seek the development and optimization of MR InI on RF array coil and sequence development, as well as data reconstruction and analysis. We will explore the application of dynamic MR InI to two major applications in the proposed pilot studies, including (1) characterization of extremely high temporal BOLD hemodynamic time curves and (2) reduction of acoustic noise during dynamic MRI acquisitions due to minimal gradient switching used in InI. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21EB007298-01A1
Application #
7386854
Study Section
Special Emphasis Panel (ZRG1-SBIB-J (90))
Program Officer
Mclaughlin, Alan Charles
Project Start
2007-09-14
Project End
2009-08-31
Budget Start
2007-09-14
Budget End
2008-08-31
Support Year
1
Fiscal Year
2007
Total Cost
$255,246
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
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Chang, Wei-Tang; Ahlfors, Seppo P; Lin, Fa-Hsuan (2013) Sparse current source estimation for MEG using loose orientation constraints. Hum Brain Mapp 34:2190-201
Lin, Fa-Hsuan; Witzel, Thomas; Raij, Tommi et al. (2013) fMRI hemodynamics accurately reflects neuronal timing in the human brain measured by MEG. Neuroimage 78:372-84
Chang, Wei-Tang; Nummenmaa, Aapo; Witzel, Thomas et al. (2013) Whole-head rapid fMRI acquisition using echo-shifted magnetic resonance inverse imaging. Neuroimage 78:325-38
Lin, Fa-Hsuan (2013) Multidimensionally encoded magnetic resonance imaging. Magn Reson Med 70:86-96
Lin, Fa-Hsuan; Witzel, Thomas; Schultz, Gerrit et al. (2012) Reconstruction of MRI data encoded by multiple nonbijective curvilinear magnetic fields. Magn Reson Med 68:1145-56
Tsai, Kevin Wen-Kai; Nummenmaa, Aapo; Witzel, Thomas et al. (2012) Multi-projection magnetic resonance inverse imaging of the human visuomotor system. Neuroimage 61:304-13
Lin, Fa-Hsuan; Nummenmaa, Aapo; Witzel, Thomas et al. (2012) Physiological noise reduction using volumetric functional magnetic resonance inverse imaging. Hum Brain Mapp 33:2815-30
Särkkä, Simo; Solin, Arno; Nummenmaa, Aapo et al. (2012) Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER. Neuroimage 60:1517-27
Lin, Fa-Hsuan; Tsai, Kevin W K; Chu, Ying-Hua et al. (2012) Ultrafast inverse imaging techniques for fMRI. Neuroimage 62:699-705

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