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Siemens AG
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Image Search Results
Journal: Proceedings of SPIE--the International Society for Optical Engineering
Article Title: Spatiospectral image processing workflow considerations for advanced MR spectroscopy of the brain
doi: 10.1117/12.3005391
Figure Lengend Snippet: Existing and proposed workflows. (a) Existing fMRI and dMRI workflows rely on the NIFTI file standard to remove variability in DICOMs and facilitate spatiotemporal or spatial with gradient processing, respectively. (b) The fragmented data landscape for MRS has come to support spectral processing, but at the cost of increased logistical variability and minimal spatial processing support. (c) The proposed approach aligns MRS workflows with existing neuroimaging frameworks, replacing the temporal/gradient dimension with a spectral one, to facilitate spatiospectral processing and simplify entry into MRS analysis for those familiar with traditional MRI standards.
Article Snippet: In
Techniques:
Journal: Proceedings of SPIE--the International Society for Optical Engineering
Article Title: Spatiospectral image processing workflow considerations for advanced MR spectroscopy of the brain
doi: 10.1117/12.3005391
Figure Lengend Snippet: Variability in MRS data between scanners. As seen in the plotted real components of the complex-valued spectra, Philips MRS DICOMs contain both water-suppressed and water-unsuppressed data (a) whereas Siemens DICOMs contain only suppressed (b). Further, the signal amplitude between suppressed spectra can vary widely between scanner manufacturers. a.u. = arbitrary units.
Article Snippet: In
Techniques:
Journal: Proceedings of SPIE--the International Society for Optical Engineering
Article Title: Spatiospectral image processing workflow considerations for advanced MR spectroscopy of the brain
doi: 10.1117/12.3005391
Figure Lengend Snippet: Existing and proposed workflows. (a) Existing fMRI and dMRI workflows rely on the NIFTI file standard to remove variability in DICOMs and facilitate spatiotemporal or spatial with gradient processing, respectively. (b) The fragmented data landscape for MRS has come to support spectral processing, but at the cost of increased logistical variability and minimal spatial processing support. (c) The proposed approach aligns MRS workflows with existing neuroimaging frameworks, replacing the temporal/gradient dimension with a spectral one, to facilitate spatiospectral processing and simplify entry into MRS analysis for those familiar with traditional MRI standards.
Article Snippet: As seen in the plotted real components of the complex-valued spectra, Philips MRS DICOMs contain both water-suppressed and water-unsuppressed data (a) whereas
Techniques:
Journal: Proceedings of SPIE--the International Society for Optical Engineering
Article Title: Spatiospectral image processing workflow considerations for advanced MR spectroscopy of the brain
doi: 10.1117/12.3005391
Figure Lengend Snippet: Variability in MRS data between scanners. As seen in the plotted real components of the complex-valued spectra, Philips MRS DICOMs contain both water-suppressed and water-unsuppressed data (a) whereas Siemens DICOMs contain only suppressed (b). Further, the signal amplitude between suppressed spectra can vary widely between scanner manufacturers. a.u. = arbitrary units.
Article Snippet: As seen in the plotted real components of the complex-valued spectra, Philips MRS DICOMs contain both water-suppressed and water-unsuppressed data (a) whereas
Techniques: