Magnetic Resonance Imaging (MRI) at high field strengths is a n invaluable tool for non-invasively studying brain structure and function in clinical populations. Higher magnetic fields provide greater signal to noise and increased contrast in functional MRI (fMRI). For example, the use of fMRI is crucial for understanding the neural mechanisms underlying reward processing and decision-making, which are likely to be associated with an increased risk of drug abuse. Understanding the altered brain circuitry in populations with drug dependencies is vital to finding effective, lasting treatments. Although it has now possible to use MRI at high fields to investigate neural circuitry and brain structure in clinical research, these studies are severely hampered by critical methodological limitations including magnetic susceptibility artifacts and RF field inhomogeneity. Susceptibility artifacts produce signal loss in many key brain regions such as the ventral striatum, amygdala, orbitofrontai cortex, basal ganglia, and nucleus accumbens. All of these regions are vital to understanding reward and addiction as well as numerous other neuropsychiatric disorders. Furthermore, the high fields needed for improved fMRI contrast also produce large image intensity variations and artifacts associated with the wavelike behavior of the RF field. These problems become worse as the field strength increases and currently leave ultra-high field scanners such as 7T impractical for clinical use. In the present application, which is a continuation of R21-DA15900, our group of investigators will tackle these technical limitations and develop and validate solutions designed to improve our ability to investigate the brain at high field. Specifically, we will design, build, and validate the use sensitivity encoding with multiple transmitters (XSENSE) to create practical implementations of tailored RF pulses at 3T. The tailored RF pulses will be used to shape MRI excitations, producing slices with improved homogeneity and less signal loss. We will combine parallel transmission with parallel reception for further refinements in image accuracy. Whole brain acquisitions for fMRI and structural MRI will be created and carefully characterized. The fMRI sequence will allow for the imaging of inferior brain regions, making new clinical applications possible. The structural MRI sequence will be robust to RF field inhomogeneity and will be tested at 7T as well. The techniques will be validated and compared in healthy human volunteers and then in an fMRI pilot study of the reward circuit in a population of abstinent drug users and controls. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA019912-02
Application #
7479695
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Aigner, Thomas G
Project Start
2007-09-01
Project End
2012-08-31
Budget Start
2008-09-01
Budget End
2009-08-31
Support Year
2
Fiscal Year
2008
Total Cost
$287,577
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

Showing the most recent 10 out of 30 publications