This is a renewal of a Research Project Grant R01DA019912 Parallel MRI for High Field Neuroimaging for the development of techniques for rapid, artifact free functional MRI (fMRI). During the previous funding period numerous methods were developed for correcting image artifacts using parallel transmission (PTX) and tailored RF (TRF) pulses. These artifacts include RF field (B1+) inhomogeneity and susceptibility artifacts (B0 inhomogeneity). B1+ inhomogeneity produces large intensity variations in images and B0 inhomogeneity creates large signal voids that obscure many brain regions crucial to understanding disease in the brain including addictive disorders. Recently Simultaneous Multi-Slice (SMS) imaging has been shown to be a promising technique for ultra-fast fMRI. SMS imaging excites multiple overlapping slices that are unfolded during reconstruction using multiple receiver coils. SMS imaging is significant for numerous applications including fMRI because it allows for increased acquisition speed on the order of four to eight. Although SMS imaging is gaining popularity, there has been little work done on improving SMS RF pulse excitations, extending it to PTX, and to non-Cartesian spiral data acquisitions. Improved pulse designs and PTX will allow for SMS excitations with reduced B1+ and B0 inhomogeneity. Spiral imaging has a highly efficient gradient usage allowing for shorter acquisition times and further increases in acquisition speed. This renewal will focus on these innovations to SMS imaging at 3T. The PI has assembled a team of internationally recognized scientists including Dr. Lawrence Wald at Massachusetts General Hospital, who is a world expert in PTX coil design and SMS imaging, and Dr. William Grissom at Vanderbilt University, who is a top researcher in PTX and RF pulse design. We will pursue the following Specific Aims: (1) Develop SMS excitations for PTX; (2) develop SMS TRF pulses that compensate for B1+ and B0 inhomogeneity; (3) develop non-Cartesian spiral acquisitions and reconstructions for ultra-fast SMS imaging; and (4) validate the methods with fMRI in control subjects.

Public Health Relevance

This is a renewal of a Research Project Grant R01DA019912 'Parallel MRI for High Field Neuroimaging' for the development of rapid, artifact free functional MRI (fMRI) methodology for brain disease research including drug addiction. During the previous R01 funding period numerous innovations were developed most notably using novel techniques called 'parallel transmission' and 'tailored RF pulses' for correcting image artifacts at high field. During the new funding period we propose several novel methods for simultaneous multi-slice (SMS) fMRI. SMS imaging holds great promise for numerous MRI applications including fMRI because it allows for high (factor four and greater) increases in acquisition speed. We propose to develop parallel transmission, tailored RF pulse, and spiral sampling methodology for ultra-fast artifact free SMS imaging. We will validate these methods using fMRI.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA019912-10
Application #
9275940
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Pariyadath, Vani
Project Start
2007-09-01
Project End
2019-05-31
Budget Start
2018-06-01
Budget End
2019-05-31
Support Year
10
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Hawaii
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
965088057
City
Honolulu
State
HI
Country
United States
Zip Code
96822
Ianni, Julianna D; Welch, E Brian; Grissom, William A (2018) Ghost reduction in echo-planar imaging by joint reconstruction of images and line-to-line delays and phase errors. Magn Reson Med 79:3114-3121
Rettenmeier, Christoph; Maziero, Danilo; Qian, Yongxian et al. (2018) A circular echo planar sequence for fast volumetric fMRI. Magn Reson Med :
Jonathan, Sumeeth V; Grissom, William A (2018) Volumetric MRI thermometry using a three-dimensional stack-of-stars echo-planar imaging pulse sequence. Magn Reson Med 79:2003-2013
Ianni, Julianna D; Cao, Zhipeng; Grissom, William A (2018) Machine learning RF shimming: Prediction by iteratively projected ridge regression. Magn Reson Med 80:1871-1881
Yan, Xinqiang; Cao, Zhipeng; Grissom, William A (2018) Ratio-adjustable power splitters for array-compressed parallel transmission. Magn Reson Med 79:2422-2431
Petrov, Andrii Y; Herbst, Michael; Andrew Stenger, V (2017) Improving temporal resolution in fMRI using a 3D spiral acquisition and low rank plus sparse (L+S) reconstruction. Neuroimage 157:660-674
Herbst, Michael; Deng, Weiran; Ernst, Thomas et al. (2017) Segmented simultaneous multi-slice diffusion weighted imaging with generalized trajectories. Magn Reson Med 78:1476-1481
Song, Hao; Ruan, Dan; Liu, Wenyang et al. (2017) Respiratory motion prediction and prospective correction for free-breathing arterial spin-labeled perfusion MRI of the kidneys. Med Phys 44:962-973
Grissom, William A; Setsompop, Kawin; Hurley, Samuel A et al. (2017) Advancing RF pulse design using an open-competition format: Report from the 2015 ISMRM challenge. Magn Reson Med 78:1352-1361
Herbst, M; Poser, B A; Singh, A et al. (2017) Motion correction for diffusion weighted SMS imaging. Magn Reson Imaging 38:33-38

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