Phase‐based masking for quantitative susceptibility mapping of the human brain at 9.4T
Purpose To develop improved tissue masks for QSM. Methods Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase. Phase images at 3T and 9.4T...
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Published in | Magnetic resonance in medicine Vol. 88; no. 5; pp. 2267 - 2276 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wiley Subscription Services, Inc
01.11.2022
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Subjects | |
Online Access | Get full text |
ISSN | 0740-3194 1522-2594 1522-2594 |
DOI | 10.1002/mrm.29368 |
Cover
Abstract | Purpose
To develop improved tissue masks for QSM.
Methods
Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase.
Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, PItoh, with between‐voxel phase differences less than π. MM, PG, and PB were compared with PItoh. QSM were generated from 3D multi‐echo gradient‐echo data acquired at 9.4T (21 subjects aged: 20‐56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age‐based iron concentrations.
Results
Close to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with PItoh, PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside PItoh.
Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities.
Conclusion
Automatic, phase‐based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions. |
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AbstractList | PurposeTo develop improved tissue masks for QSM.MethodsMasks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase.Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, PItoh, with between‐voxel phase differences less than π. MM, PG, and PB were compared with PItoh. QSM were generated from 3D multi‐echo gradient‐echo data acquired at 9.4T (21 subjects aged: 20‐56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age‐based iron concentrations.ResultsClose to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with PItoh, PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside PItoh.Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities.ConclusionAutomatic, phase‐based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions. To develop improved tissue masks for QSM. Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase. Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, P , with between-voxel phase differences less than π. MM, PG, and PB were compared with P . QSM were generated from 3D multi-echo gradient-echo data acquired at 9.4T (21 subjects aged: 20-56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age-based iron concentrations. Close to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with P , PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside P Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities. Automatic, phase-based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions. To develop improved tissue masks for QSM.PURPOSETo develop improved tissue masks for QSM.Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase. Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, PItoh , with between-voxel phase differences less than π. MM, PG, and PB were compared with PItoh . QSM were generated from 3D multi-echo gradient-echo data acquired at 9.4T (21 subjects aged: 20-56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age-based iron concentrations.METHODSMasks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase. Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, PItoh , with between-voxel phase differences less than π. MM, PG, and PB were compared with PItoh . QSM were generated from 3D multi-echo gradient-echo data acquired at 9.4T (21 subjects aged: 20-56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age-based iron concentrations.Close to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with PItoh , PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside PItoh. Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities.RESULTSClose to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with PItoh , PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside PItoh. Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities.Automatic, phase-based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions.CONCLUSIONAutomatic, phase-based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions. Purpose To develop improved tissue masks for QSM. Methods Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined with test functions from the first (PG) or second (PB) derivative of the sign of the wrapped phase. Phase images at 3T and 9.4T were simulated at different TEs and used to generate a mask, PItoh, with between‐voxel phase differences less than π. MM, PG, and PB were compared with PItoh. QSM were generated from 3D multi‐echo gradient‐echo data acquired at 9.4T (21 subjects aged: 20‐56y), and from the QSM2016 challenge 3T data using different masks, unwrapping, background removal, and dipole inversion algorithms. QSM contrast was quantified using age‐based iron concentrations. Results Close to air cavities, phase wraps became denser with increasing field and echo time, yielding increased values of the test functions. Compared with PItoh, PB had the highest Dice coefficient, while PG had the lowest and MM the highest percentage of voxels outside PItoh. Artifacts observed in QSM at 9.4T with MM were mitigated by stronger background filters but yielded a reduced QSM contrast. With PB, QSM contrast was greater and artifacts diminished. Similar results were obtained with challenge data, evidencing larger effects of mask close to air cavities. Conclusion Automatic, phase‐based masking founded on the second derivative of the sign of the wrapped phase, including cortical voxels at the brain surface, was able to mitigate artifacts and restore QSM contrast across cortical and subcortical brain regions. |
Author | Tuzzi, Elisa Hagberg, Gisela E. Eckstein, Korbinian Robinson, Simon Zhou, Jiazheng Scheffler, Klaus |
AuthorAffiliation | 1 Department for Biomedical Magnetic Resonance, University Hospital Tübingen, Tübingen, Germany 3 High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria 2 Department of Neurology, Medical University of Graz, Graz, Austria 5 High Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany 4 Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia |
AuthorAffiliation_xml | – name: 5 High Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany – name: 2 Department of Neurology, Medical University of Graz, Graz, Austria – name: 4 Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia – name: 3 High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria – name: 1 Department for Biomedical Magnetic Resonance, University Hospital Tübingen, Tübingen, Germany |
Author_xml | – sequence: 1 givenname: Gisela E. orcidid: 0000-0003-2176-7086 surname: Hagberg fullname: Hagberg, Gisela E. email: gisela.hagberg@tuebingen.mpg.de organization: Max Planck Institute for Biological Cybernetics – sequence: 2 givenname: Korbinian orcidid: 0000-0002-4538-7072 surname: Eckstein fullname: Eckstein, Korbinian organization: Max Planck Institute for Biological Cybernetics – sequence: 3 givenname: Elisa surname: Tuzzi fullname: Tuzzi, Elisa organization: Max Planck Institute for Biological Cybernetics – sequence: 4 givenname: Jiazheng orcidid: 0000-0002-7114-5181 surname: Zhou fullname: Zhou, Jiazheng organization: Max Planck Institute for Biological Cybernetics – sequence: 5 givenname: Simon surname: Robinson fullname: Robinson, Simon organization: The University of Queensland – sequence: 6 givenname: Klaus orcidid: 0000-0001-6316-8773 surname: Scheffler fullname: Scheffler, Klaus organization: Max Planck Institute for Biological Cybernetics |
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Snippet | Purpose
To develop improved tissue masks for QSM.
Methods
Masks including voxels at the brain surface were automatically generated from the magnitude alone... To develop improved tissue masks for QSM. Masks including voxels at the brain surface were automatically generated from the magnitude alone (MM) or combined... PurposeTo develop improved tissue masks for QSM.MethodsMasks including voxels at the brain surface were automatically generated from the magnitude alone (MM)... To develop improved tissue masks for QSM.PURPOSETo develop improved tissue masks for QSM.Masks including voxels at the brain surface were automatically... |
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SubjectTerms | Adult Algorithms Brain Brain - diagnostic imaging Brain mapping Brain Mapping - methods Cavities Data acquisition Dipoles Humans Image Processing, Computer-Assisted - methods Magnetic resonance imaging Magnetic Resonance Imaging - methods magnetic susceptibility Masking Masks Middle Aged MRI methods QSM tissue masking Young Adult |
Title | Phase‐based masking for quantitative susceptibility mapping of the human brain at 9.4T |
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