A new discrete dipole kernel for quantitative susceptibility mapping
Most approaches for quantitative susceptibility mapping (QSM) are based on a forward model approximation that employs a continuous Fourier transform operator to solve a differential equation system. Such formulation, however, is prone to high-frequency aliasing. The aim of this study was to reduce s...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Milovic, Carlos [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Umfang: |
7 |
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| Übergeordnetes Werk: |
Enthalten in: Synthesis, characterization and catalytic performance of MgO-coated Ni/SBA-15 catalysts for methane dry reforming to syngas and hydrogen - Wang, Ning ELSEVIER, 2013transfer abstract, an international journal of basic research and clinical applications, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:51 ; year:2018 ; pages:7-13 ; extent:7 |
| Links: |
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| DOI / URN: |
10.1016/j.mri.2018.04.004 |
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| 520 | |a Most approaches for quantitative susceptibility mapping (QSM) are based on a forward model approximation that employs a continuous Fourier transform operator to solve a differential equation system. Such formulation, however, is prone to high-frequency aliasing. The aim of this study was to reduce such errors using an alternative dipole kernel formulation based on the discrete Fourier transform and discrete operators. | ||
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Enthalten in Synthesis, characterization and catalytic performance of MgO-coated Ni/SBA-15 catalysts for methane dry reforming to syngas and hydrogen Amsterdam [u.a.] volume:51 year:2018 pages:7-13 extent:7 |
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Most approaches for quantitative susceptibility mapping (QSM) are based on a forward model approximation that employs a continuous Fourier transform operator to solve a differential equation system. Such formulation, however, is prone to high-frequency aliasing. The aim of this study was to reduce such errors using an alternative dipole kernel formulation based on the discrete Fourier transform and discrete operators. |
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Most approaches for quantitative susceptibility mapping (QSM) are based on a forward model approximation that employs a continuous Fourier transform operator to solve a differential equation system. Such formulation, however, is prone to high-frequency aliasing. The aim of this study was to reduce such errors using an alternative dipole kernel formulation based on the discrete Fourier transform and discrete operators. |
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Most approaches for quantitative susceptibility mapping (QSM) are based on a forward model approximation that employs a continuous Fourier transform operator to solve a differential equation system. Such formulation, however, is prone to high-frequency aliasing. The aim of this study was to reduce such errors using an alternative dipole kernel formulation based on the discrete Fourier transform and discrete operators. |
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A new discrete dipole kernel for quantitative susceptibility mapping |
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