The goal of this project is to determine optimal stimulus designs and evaluate motion related artifact correction techniques that are specific for verbalized language studies at 3T field strength. The project is focused on (1) the design of acquisition methods to acquire functional MRI (fMRI) data with a clear presentation of stimuli and confirmation of response without the effect of scanner noise, (2) correction of image artifacts from head motion utilizing map-slice-to-volume (MSV) algorithm including dynamically computed field map for the susceptibility (x) induced field changes and spin saturation effect, (3) comparison of the clustered acquisitions with block designs for the statistical power in detecting blood oxygenation level dependent (BOLD) signal changes in overt speech studies after the adequate head motion artifact correction. In this study, the focus is correction of dynamic image distortion resulting from head movement by computing a concurrent field map with MSV motion parameters for each image and we propose the utility of field map driven dynamic distortion correctionto be added to MSV-TPS. The proposed dynamic field map computation is a unique, novel approach, which can be available only with the capability of estimating motion parameters by MSV for each image in the time series. The computed field map using the MSV motion parameters will be validated with the real time acquisition method. With the compexity in MSV for computing image warping, dynamic field map and intensity recovery by tracking spin saturation effect, fast analytical optimization and joint estimation of entropy in image series are investigated. This study proposes to evaluate and develop motion correction method in a higher magnetic field strength, 3T, which provides higher signal strength to detect brain functions in functional MRI technique. The image artifacts associated with head motion are augmented at higher field, and cannot be avoided, especially, for functional tasks involving verbal speech. The ability to accurately localize spoken language function in the brain is a significant advance in the field of fMRI. Actual production of speech involves articulation of words as well as language processing, and verbalized speech in the scanner has been problematic because of the

Public Health Relevance

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA087634-10
Application #
8445393
Study Section
Special Emphasis Panel (ZCA1-GRB-P)
Project Start
Project End
2015-02-28
Budget Start
2013-03-01
Budget End
2014-02-28
Support Year
10
Fiscal Year
2013
Total Cost
$226,767
Indirect Cost
$64,965
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Muckley, Matthew J; Noll, Douglas C; Fessler, Jeffrey A (2015) Fast parallel MR image reconstruction via B1-based, adaptive restart, iterative soft thresholding algorithms (BARISTA). IEEE Trans Med Imaging 34:578-88
Weller, Daniel S; Ramani, Sathish; Fessler, Jeffrey A (2014) Augmented Lagrangian with variable splitting for faster non-Cartesian L1-SPIRiT MR image reconstruction. IEEE Trans Med Imaging 33:351-61
Zhao, Feng; Fessler, Jeffrey A; Wright, Steven M et al. (2014) Regularized estimation of magnitude and phase of multi-coil b1 field via Bloch-Siegert B1 mapping and coil combination optimizations. IEEE Trans Med Imaging 33:2020-30
Weller, Daniel S; Ramani, Sathish; Nielsen, Jon-Fredrik et al. (2014) Monte Carlo SURE-based parameter selection for parallel magnetic resonance imaging reconstruction. Magn Reson Med 71:1760-70
Watanabe, Takanori; Kessler, Daniel; Scott, Clayton et al. (2014) Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine. Neuroimage 96:183-202
Allison, Michael J; Ramani, Sathish; Fessler, Jeffrey A (2013) Accelerated regularized estimation of MR coil sensitivities using augmented Lagrangian methods. IEEE Trans Med Imaging 32:556-64
Ramani, Sathish; Weller, Daniel S; Nielsen, Jon-Fredrik et al. (2013) Non-cartesian MRI reconstruction with automatic regularization Via Monte-Carlo SURE. IEEE Trans Med Imaging 32:1411-22
Sripada, Chandra Sekhar; Kessler, Daniel; Welsh, Robert et al. (2013) Distributed effects of methylphenidate on the network structure of the resting brain: a connectomic pattern classification analysis. Neuroimage 81:213-21
Chun, Se Young; Fessler, Jeffrey A (2013) Noise properties of motion-compensated tomographic image reconstruction methods. IEEE Trans Med Imaging 32:141-52
Matakos, Antonios; Ramani, Sathish; Fessler, Jeffrey A (2013) Accelerated edge-preserving image restoration without boundary artifacts. IEEE Trans Image Process 22:2019-29

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