This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. This an added subproject to Acquisition Core, Project 1. This subproject is a direct collaboration with Dr. Schuff to develop high-resolution structural MRI sequences.
The specific aim of this subproject """"""""High resolution spiral MPRAGE"""""""" is to provide a novel implementation of an MPRAGE sequence using a spiral-based k-space acquisition scheme.MPRAGE (magnetization-prepared rapid gradient echo) is an MR imaging technique used to acquire structural brain images. Expected advantages of a spiral readout implementation are improved T1 contrast and signal-to-noise ratio with high image resolution due to the time-efficient data acquisition. A further advantage is the possibility to realize extremely short echo times, which minimizes additional transverse T2 and T2* relaxation effects. This is especially important for high field systems because of the short transverse relaxation times. With additional oversampling in the k-space center, motion artifacts can be greatly reduced. Also, because of negligible gradient moments at the k-space center, the sequence is robust to flow artifacts. All these advantages make the spiral MPRAGE a formidable basic tool for advanced structural brain imaging research. The subcontract covers the development of a spiral MPRAGE sequence for a Bruker MedSpec 4 Tesla MR scanner system, running Siemens Syngo software version VA25. MPRAGE sequences start with a preparatory rf pulse to prepare the longitudinal magnetization. After a certain inversion time, T1 weighted signal can be acquired. This is done by several excitation or alpha pulses which prepare part of the magnetization for readout. After each alpha pulse, exactly one line of k-space is encoded and read out. In the case of spiral MPRAGE, each line acquisitions is replaced by the acquisition of one spiral readout segment by the switching of sinusoidal gradients. The use of a spiral k-space readout brings up the advantages stated above. Difficulties which arise with this approach are: extension of the sequence flexibility regarding spiral segmentation;optimization of the spiral gradient shape and timing;the need for regridding of the raw data before further processing;correction of off-resonance effects. All these topics are addressed in the scope of the subcontract.
|Kuceyeski, Amy; Navi, Babak B; Kamel, Hooman et al. (2016) Structural connectome disruption at baseline predicts 6-months post-stroke outcome. Hum Brain Mapp 37:2587-601|
|Lam, Fan; Liu, Ding; Song, Zhuang et al. (2016) A fast algorithm for denoising magnitude diffusion-weighted images with rank and edge constraints. Magn Reson Med 75:433-40|
|Pannetier, Nicolas A; Stavrinos, Theano; Ng, Peter et al. (2016) Quantitative framework for prospective motion correction evaluation. Magn Reson Med 75:810-6|
|Kuceyeski, A; Shah, S; Dyke, J P et al. (2016) The application of a mathematical model linking structural and functional connectomes in severe brain injury. Neuroimage Clin 11:635-47|
|Kuceyeski, A F; Vargas, W; Dayan, M et al. (2015) Modeling the relationship among gray matter atrophy, abnormalities in connecting white matter, and cognitive performance in early multiple sclerosis. AJNR Am J Neuroradiol 36:702-9|
|Raj, Ashish; LoCastro, Eve; Kuceyeski, Amy et al. (2015) Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer's Disease. Cell Rep :|
|Zhao, Bo; Lu, Wenmiao; Hitchens, T Kevin et al. (2015) Accelerated MR parameter mapping with low-rank and sparsity constraints. Magn Reson Med 74:489-98|
|Kuceyeski, Amy; Navi, Babak B; Kamel, Hooman et al. (2015) Exploring the brain's structural connectome: A quantitative stroke lesion-dysfunction mapping study. Hum Brain Mapp 36:2147-60|
|Lu, Zhao-Hua; Zhu, Hongtu; Knickmeyer, Rebecca C et al. (2015) Multiple SNP Set Analysis for Genome-Wide Association Studies Through Bayesian Latent Variable Selection. Genet Epidemiol 39:664-77|
|Ma, Chao; Liang, Zhi-Pei (2015) Design of multidimensional Shinnar-Le Roux radiofrequency pulses. Magn Reson Med 73:633-45|
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