Metabolic changes observed with proton-magnetic-resonance-spectroscopy (1H-MRS) often augment the highly sensitive but not specific MRI. Indeed, at 1.5 Tesla, 1H-MRS has so far linked anatomy from MRI with underlying metabolism in cancer, Alzheimer's and Parkinson's diseases, MS, HIV, epilepsy, stroke trauma and other neurological and psychiatric disorders. It was anticipated, therefore, that high, B0 e3 T, magnetic-fields would provide 1H-MRS a much needed boost in sensitivity, spectral and spatial resolution. That unfortunately, did not happen despite their proliferation in number, :300 installed, and field strength, up to 9.4 T. Translation of the most useful two and three dimensional (2D, 3D) 1H-MRS techniques to high-fields has been stymied by: (i) High radio-frequency (B1) power requirements and heat deposition;(ii) short T2s, reducing the signal-to- noise-ratio (SNR) gain;(iii) chemical shift displacement errors;and (iv) lack of software to evaluate and display the large data sets. Consequently, efficient, reliable 3D multivoxel techniques are not offered by instrument manufacturers, who traditionally shift this onus onto publicly-funded academic research. The long term goal of this competing continuation, therefore, is to develop methods to address issues i - iv to perform 3D 1H-MRS at higher B0s, and realize the advantages for clinical research. Our response to these problems is to extend to 3 and 7 T our successful hybrid techniques.
Specific Aim 1 is to exploit the shorter T2s to enhance the SNR and acquisition efficiency of 3D coverage by optimal interleaving across the volume-of-interest (VOI), multiple slabs of several slices each.
Specific Aim 2 is to overcome the declining B1 fields per watt RF power with shifted-Hadamard pulses that need the B1 of just one slice to sequentially excite several. This will lower the peak and deposited power under very strong selective gradients and reduce the chemical shift displacement.
Specific Aim 3, is to recover the SNR lost to shorter T2s at high B0s with non-echo sequences using 3D transverse and longitudinal-Hadamard encoding to define the VOI. Finally, Specific Aim 4 is to develop new post-processing methods to detect and visualize relationships between different metabolites'spatial distributions to simplify the daunting amounts of 3D 1H MRS data.PROJECT NARRATIVE This project will lead to increases in the amount of human brain volume covered in an exam, improve the localization accuracy as well as spatial and spectral resolution and shorten the acquisition time for proton spectroscopy at higher magnetic fields. These capabilities will enhance studies of the underlying metabolism of devastating (but frequently MRI-invisible or of non-specific finding) neurological diseases in the human brain and spine and may also improve our capability to monitor the effectiveness of their treatment(s).

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB001015-16
Application #
8105163
Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Liu, Guoying
Project Start
1996-07-22
Project End
2014-06-30
Budget Start
2011-07-01
Budget End
2014-06-30
Support Year
16
Fiscal Year
2011
Total Cost
$634,210
Indirect Cost
Name
New York University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Kirov, Ivan I; Liu, Shu; Tal, Assaf et al. (2017) Proton MR spectroscopy of lesion evolution in multiple sclerosis: Steady-state metabolism and its relationship to conventional imaging. Hum Brain Mapp 38:4047-4063
Davitz, Matthew S; Wu, William E; Soher, Brian J et al. (2017) Quantifying global-brain metabolite level changes with whole-head proton MR spectroscopy at 3T. Magn Reson Imaging 35:15-19
Kirov, Ivan I; Wu, William E; Soher, Brian J et al. (2017) Global brain metabolic quantification with whole-head proton MRS at 3 T. NMR Biomed 30:
Meyer, E J; Kirov, I I; Tal, A et al. (2016) Metabolic Abnormalities in the Hippocampus of Patients with Schizophrenia: A 3D Multivoxel MR Spectroscopic Imaging Study at 3T. AJNR Am J Neuroradiol 37:2273-2279
Malaspina, Dolores; Kranz, Thorsten M; Heguy, Adriana et al. (2016) Prefrontal neuronal integrity predicts symptoms and cognition in schizophrenia and is sensitive to genetic heterogeneity. Schizophr Res 172:94-100
Mazgaj, Robert; Tal, Assaf; Goetz, Raymond et al. (2016) Hypo-metabolism of the rostral anterior cingulate cortex associated with working memory impairment in 18 cases of schizophrenia. Brain Imaging Behav 10:115-23
Glodzik, Lidia; Sollberger, Marc; Gass, Achim et al. (2015) Global N-acetylaspartate in normal subjects, mild cognitive impairment and Alzheimer's disease patients. J Alzheimers Dis 43:939-47
Grossman, Elan J; Kirov, Ivan I; Gonen, Oded et al. (2015) N-acetyl-aspartate levels correlate with intra-axonal compartment parameters from diffusion MRI. Neuroimage 118:334-43
Chawla, S; Ge, Y; Lu, H et al. (2015) Whole-Brain N-Acetylaspartate Concentration Is Preserved during Mild Hypercapnia Challenge. AJNR Am J Neuroradiol 36:2055-61
Wu, W E; Babb, J S; Tal, A et al. (2015) Early glial activation precedes neurodegeneration in the cerebral cortex after SIV infection: a 3D, multivoxel proton magnetic resonance spectroscopy study. HIV Med 16:381-7

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