Three-dimensional high-resolution magnetic resonance spectroscopic imaging for absolute quantification of31P metabolites in human liver

2008 ◽  
Vol 60 (4) ◽  
pp. 796-802 ◽  
Author(s):  
M. Chmelík ◽  
A. I. Schmid ◽  
S. Gruber ◽  
J. Szendroedi ◽  
M. Krššák ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
High Resolution ◽  
Human Liver ◽  
Three Dimensional ◽  
Spectroscopic Imaging ◽  
Absolute Quantification ◽  
Magnetic Resonance Spectroscopic Imaging

High-Resolution Metabolic Mapping of the Cerebellum Using a Zoomed Magnetic Resonance Spectroscopic Imaging

2020 ◽  
Author(s):  
Uzay E. Emir ◽  
Jaiyta Sood ◽  
Mark Chiew ◽  
Albert Thomas ◽  
Sean P. Lane
Keyword(s):  
Magnetic Resonance ◽  
High Resolution ◽  
Region Of Interest ◽  
Spectroscopic Imaging ◽  
Magnetic Resonance Spectroscopic Imaging ◽  
Total N ◽  
Group Averaging ◽  
Full Intensity ◽  
Nominal Resolution ◽  
Very High

AbstractPurposeThe human cerebellum plays an important role in functional activity cerebrum which is ranging from motor to cognitive activities since due to its relaying role between spinal cord and cerebrum. The cerebellum poses many challenges to magnetic resonance spectroscopic imaging (MRSI) due to the caudal location, the susceptibility to physiological artifacts and partial volume artifact due to its complex anatomical structure. Thus, in present study, we propose a high-resolution MRSI acquisition scheme for the cerebellum.MethodsA zoomed or reduced-field of view (rFOV) metabolite-cycled full-intensity magnetic resonance spectroscopic imaging (MRSI) at 3T with a nominal resolution of 62.5 μL was developed. Single-slice rFOV MRSI data were acquired from the cerebellum of 5 healthy subjects with a nominal resolution of 2.5□×□2.5□mm2 in 9□minutes 36. Spectra were quantified with LCModel. A spatially unbiased atlas template of the cerebellum was used for analyzing metabolite distributions in the cerebellum.ResultsThe high quality of the achieved spectra enabled to generate a high-resolution metabolic map of total N-acetylaspartate, total creatine, total choline, glutamate+glutamine and myo-inositol with Cramér-Rao lower bounds below 50%. A spatially unbiased atlas template of the cerebellum-based region of interest (ROIs) analysis resulted in spatially dependent metabolite distributions in 9 ROIs. The group-averaging across subjects in the Montreal Neurological Institute-152 template space allowed to generate a very high-resolution metabolite maps in the cerebellum.ConclusionThese findings indicate that very high-resolution metabolite probing of cerebellum is feasible using rFOV or zoomed MRSI at 3T.

scholarly journals High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7T

NeuroImage ◽  
2019 ◽  
Vol 191 ◽  
pp. 587-595 ◽  
Author(s):  
Gilbert Hangel ◽  
Saurabh Jain ◽  
Elisabeth Springer ◽  
Eva Hečková ◽  
Bernhard Strasser ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
High Resolution ◽  
Super Resolution ◽  
Spectroscopic Imaging ◽  
Magnetic Resonance Spectroscopic Imaging ◽  
Metabolic Mapping

Three-dimensional magnetic resonance spectroscopic imaging of histologically confirmed brain tumors

2001 ◽  
Vol 19 (1) ◽  
pp. 89-101 ◽  
Author(s):  
Daniel Vigneron ◽  
Andrew Bollen ◽  
Michael McDermott ◽  
Lawrence Wald ◽  
Mark Day ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Brain Tumors ◽  
Three Dimensional ◽  
Spectroscopic Imaging ◽  
Magnetic Resonance Spectroscopic Imaging

scholarly journals Lipid suppressed and tissue-fraction corrected metabolic distributions in human central brain structures using 2D 1H Magnetic Resonance Spectroscopic Imaging at 7 tesla

2020 ◽  
Author(s):  
Alex A. Bhogal ◽  
Tommy A.A. Broeders ◽  
Lisan Morsinkhof ◽  
Mirte Edens ◽  
Sahar Nassirpour ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
High Resolution ◽  
Spectroscopic Imaging ◽  
Magnetic Resonance Spectroscopic Imaging ◽  
Brain Diseases ◽  
7 Tesla ◽  
Partial Volume ◽  
Scan Time ◽  
Central Brain

ABSTRACTMagnetic resonance spectroscopic imaging (MRSI) has the potential to add a layer of understanding of the neurobiological mechanisms underlying brain diseases, disease progression, and treatment efficacy. Limitations related to metabolite fitting of low SNR data, signal variations due to partial volume effects, acquisition and extra-cranial lipid artefacts, along with clinically relevant aspects such as scan-time constraints, are among the factors that hinder the widespread implementation of in vivo MRSI. The aim of this work was to address these factors and to develop an acquisition, reconstruction and post-processing pipeline to derive lipid suppressed metabolite values based on Free Induction Decay (FID-MRSI) measurements made using a 7 tesla MR scanner. Anatomical images were used to perform high-resolution (1mm3) partial-volume correction to account for grey matter, white matter and cerebral-spinal fluid signal contributions. Implementation of automatic quality control thresholds and normalization of metabolic maps from 23 subjects to the MNI standard atlas facilitated the creation of high-resolution average metabolite maps of several clinically relevant metabolites in central brain regions, while accounting for macromolecular distributions. Reported metabolite values include glutamate, choline, (phospo)creatine, myo-inositol, glutathione, N-acetyl aspartyl glutamate(and glutamine) and N-acetyl aspartate. MNI-registered average metabolite maps facilitate group-based analysis; thus offering the possibility to mitigate uncertainty in variable MRSI.

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