A Bioengineering Research Partnership (PAR-06-459) is proposed for the development of parallel excitation technology to improve functional magnetic resonance imaging (fMRI) studies in the inferior frontal cortex. This project is motivated by the need to eliminate large signal voids and image distortions caused by magnetic susceptibility differences between brain tissue and air in the nasal sinuses. These artifacts are ubiquitous in fMRI, especially for many inferior brain structures including the orbitofrontal cortex (OFC), inferior and medial temporal lobes, and brain stem structures. These parts of the brain have been implicated in neurodegenerative disorders, epilepsy, psychiatric conditions and alcohol/substance abuse disorders. Many current techniques to remove these distortions have a large cost in terms of temporal resolution or sensitivity for detection of activation. Our group has pioneered methods for reducing these artifacts, including multidimensional selective excitation, a technique that is promising, but is currently limited in the degree of correction and by the long duration of the excitation pulses. Parallel excitation is a new technology that will allow for greater flexibility in exciting specific patterns or more uniform patterns in MRI through the use of multiple independent excitation channels. For multidimensional excitation patterns, such as those used to eliminate the signal-loss artifacts in inferior brain regions in fMRI, parallel excitation should allow shorter pulses and offer more complete correction. This project is uniquely multidisciplinary in that it involves advances in parallel excitation pulse design, parallel excitation hardware, system integration, and application to studies of patients. This project will be lead by a multidisciplinary group of investigators: the Lead Investigators for this project are Douglas Noll (PI;System Integration and Software, Validation), Jeffrey Fessler (Pulse Optimization), and Stephen Taylor (Patient Studies);all from Univ. of Michigan and Steven Wright (Co-Pi;Hardware, System Integration) from Texas A&M University. This project offers novel optimization strategies to parallel excitation pulse design, unique current source technologies for driving the parallel transmit array, and important scientific investigation into the functioning of the OFC. Together, these approaches lead to valuable new methods for functional MRI that are capable of probing inferior brain structures with sensitivity equal to other structures, which will aid in the study of a variety of neuropsychiatric disorders. The parallel excitation technology developed here will also advance the general state of MRI technology for correction of excitation inhomogeneity at high magnetic fields and for many other application of multidimensional excitation in MRI.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS058576-05
Application #
8207898
Study Section
Special Emphasis Panel (ZRG1-BDCN-E (10))
Program Officer
Babcock, Debra J
Project Start
2008-01-01
Project End
2014-12-31
Budget Start
2012-01-01
Budget End
2014-12-31
Support Year
5
Fiscal Year
2012
Total Cost
$598,855
Indirect Cost
$162,727
Name
University of Michigan Ann Arbor
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Hao, Sun; Fessler, Jeffrey A; Noll, Douglas C et al. (2016) Joint Design of Excitation k-Space Trajectory and RF Pulse for Small-Tip 3D Tailored Excitation in MRI. IEEE Trans Med Imaging 35:468-79
Sun, Hao; Fessler, Jeffrey A; Noll, Douglas C et al. (2016) Balanced SSFP-like steady-state imaging using small-tip fast recovery with a spectral prewinding pulse. Magn Reson Med 75:839-44
Zhao, Feng; Nielsen, Jon-Fredrik; Swanson, Scott D et al. (2015) Simultaneous fat saturation and magnetization transfer contrast imaging with steady-state incoherent sequences. Magn Reson Med 74:739-46
Sun, Hao; Fessler, Jeffrey A; Noll, Douglas C et al. (2015) Steady-state functional MRI using spoiled small-tip fast recovery imaging. Magn Reson Med 73:536-43
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
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
Moody, Katherine Lynn; Hollingsworth, Neal A; Zhao, Feng et al. (2014) An eight-channel T/R head coil for parallel transmit MRI at 3T using ultra-low output impedance amplifiers. J Magn Reson 246:62-8
Sun, Hao; Fessler, Jeffrey A; Noll, Douglas C et al. (2014) Strategies for improved 3D small-tip fast recovery imaging. Magn Reson Med 72:389-98
Nielsen, Jon-Fredrik; Yoon, Daehyun; Noll, Douglas C (2013) Small-tip fast recovery imaging using non-slice-selective tailored tip-up pulses and radiofrequency-spoiling. Magn Reson Med 69:657-66
Zhao, Feng; Noll, Douglas C; Nielsen, Jon-Fredrik et al. (2012) Separate magnitude and phase regularization via compressed sensing. IEEE Trans Med Imaging 31:1713-23

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