scholarly journals Estimation and removal of spurious echo artifacts in single‐voxel MRS using sensitivity encoding

2021 ◽  
Author(s):  
Adam Berrington ◽  
Michal Považan ◽  
Peter B. Barker
Keyword(s):  
Sensitivity Encoding ◽  
Single Voxel

scholarly journals Estimation and Removal of spurious echo Artifacts in single-voxel MRS using Sensitivity Encoding

2020 ◽  
Author(s):  
Adam Berrington ◽  
Michal Povazan ◽  
Peter B Barker
Keyword(s):  
A Priori ◽  
Brain Regions ◽  
Water Suppression ◽  
Spectral Quality ◽  
Artifact Removal ◽  
Sensitivity Encoding ◽  
Volume Of Interest ◽  
Single Voxel ◽  
Accurate Quantification ◽  
Methods Numerical

Purpose: In localized MR spectroscopy, spurious echo artifacts commonly occur when unsuppressed signal outside the volume-of-interest is excited and refocused. In the spectral domain, these signals often overlap with metabolite resonances and hinder accurate quantification. Since the artifacts originate from regions separate from the target MRS voxel, this work proposes that sensitivity encoding based on receive coil sensitivity profiles may be used to separate these signal contributions. Methods: Numerical simulations were performed to explore the effect of sensitivity encoded separation for unknown artifact regions. An imaging-based approach was developed to identify regions that may contribute to spurious echo artifacts, and tested for sensitivity-based unfolding of signal contribution on 6 datasets from 3 brain regions. Spectral data reconstructed using the proposed method ('ERASE') were compared to standard coil combination. Results: The method was able to fully separate metabolite and artifact signals if regions were known a priori. Mismatch between estimated and actual artifact locations reduced the efficiency of artifact removal. Water suppression imaging (WSI) was able to identify unsuppressed signal remote from the MRS voxel in all cases, and ERASE reconstruction (of up to 8 distinct locations) led to improvements in spectral quality and reduced fitting errors for the major metabolites compared to standard reconstruction, without significant degradation of spectral SNR. Conclusion: The ERASE reconstruction tool was demonstrated to reduce spurious echo artifacts in single voxel MRS. ERASE may be incorporated into standard MRS workflows to improve spectral quality when scanner hardware limitations or other factors result in out-of-voxel signal contamination.

In Vivo Single Voxel 1H MR Spectroscopy in Cerebral Glioma

1996 ◽  
Vol 35 (3) ◽  
pp. 307 ◽  
Author(s):  
In Chan Song ◽  
Kee Hyun Chang ◽  
Moon Hee Han ◽  
Hee Won Jung ◽  
Dong Sung Kim ◽  
...  
Keyword(s):  
Mr Spectroscopy ◽  
Cerebral Glioma ◽  
1H Mr Spectroscopy ◽  
Single Voxel

scholarly journals Detection of clustered anomalies in single-voxel morphometry as a rapid automated method for identifying intracranial aneurysms

2021 ◽  
Vol 89 ◽  
pp. 101888
Author(s):  
Mark C. Allenby ◽  
Ee Shern Liang ◽  
James Harvey ◽  
Maria A. Woodruff ◽  
Marita Prior ◽  
...  
Keyword(s):  
Intracranial Aneurysms ◽  
Automated Method ◽  
Single Voxel

scholarly journals Brain tissues have single-voxel signatures in multi-spectral MRI

NeuroImage ◽  
2021 ◽  
pp. 117986
Author(s):  
Alexander German ◽  
Angelika Mennecke ◽  
Jan Martin ◽  
Jannis Hanspach ◽  
Andrzej Liebert ◽  
...  
Keyword(s):  
Single Voxel ◽  
Brain Tissues

Single-voxel proton MR spectroscopy of right versus left hippocampi in PTSD

2003 ◽  
Vol 123 (2) ◽  
pp. 101-108 ◽  
Author(s):  
P. Mohanakrishnan Menon ◽  
Henry A. Nasrallah ◽  
Judith A. Lyons ◽  
Mertis F. Scott ◽  
Vincent Liberto
Keyword(s):  
Mr Spectroscopy ◽  
Proton Mr Spectroscopy ◽  
Single Voxel
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