MRSI data reconstruction with Generalized SENSE

MRSI data reconstruction with Generalized SENSE

The Generalized SENSE algorithm has previously been proposed to reconstruct high-resolution MRI data obtained using incomplete spatial sampling with multi-channel detection. In this report a modification of this algorithm is presented and applied to magnetic resonance spectroscopic imaging (MRSI) da...

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Bibliographische Detailangaben
Hauptverfasser: Yufang Bao, Maudsley, A.A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Coils
Data acquisition
High-resolution imaging
Image reconstruction
Image sampling
Magnetic resonance imaging
Reconstruction algorithms
Sampling methods
Spatial resolution
Spectroscopy
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Beschreibung
Zusammenfassung:The Generalized SENSE algorithm has previously been proposed to reconstruct high-resolution MRI data obtained using incomplete spatial sampling with multi-channel detection. In this report a modification of this algorithm is presented and applied to magnetic resonance spectroscopic imaging (MRSI) data. It is shown that this reconstruction method enables a decrease in data acquisition time to be obtained with minimal impact on image quality
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2006.1624843