A population-specific symmetric phase model to automatically analyze susceptibility-weighted imaging (SWI) phase shifts and phase symmetry in the human brain

Grabner, Gunther, Haubenberger, Dietrich, Rath, Jakob, Beisteiner, Roland, Auff, Eduard, Trattnig, Siegfried and Barth, Markus (2010) A population-specific symmetric phase model to automatically analyze susceptibility-weighted imaging (SWI) phase shifts and phase symmetry in the human brain. Journal of Magnetic Resonance Imaging, 31 1: 215-220. doi:10.1002/jmri.22013


Author Grabner, Gunther
Haubenberger, Dietrich
Rath, Jakob
Beisteiner, Roland
Auff, Eduard
Trattnig, Siegfried
Barth, Markus
Title A population-specific symmetric phase model to automatically analyze susceptibility-weighted imaging (SWI) phase shifts and phase symmetry in the human brain
Journal name Journal of Magnetic Resonance Imaging   Check publisher's open access policy
ISSN 1053-1807
1522-2586
Publication date 2010-01-01
Year available 2010
Sub-type Article (original research)
DOI 10.1002/jmri.22013
Volume 31
Issue 1
Start page 215
End page 220
Total pages 6
Place of publication Hoboken, NJ United States
Publisher John Wiley and Sons, Inc.
Language eng
Subject 2741 Radiology Nuclear Medicine and imaging
Abstract Purpose: To create a population-specific symmetric phase model and to evaluate the susceptibility-weighted imaging (SWI) phase in terms of phase shift using different segmentation methods (manual and automatic) and phase shift symmetry, which is expected as a marker for lateralized Parkinson's disease (PD) symptoms. Materials and Methods: SWI and T1-weighted data from 25 PD patients and five healthy controls were acquired on a 3T MRI system. A population-specific, symmetric phase model was developed. Regions of interest (ROIs) were defined manually on the phase model, manually on each individual data set, and automatically using model-based segmentation (MBS). Manually- and MBS- defined ROIs were compared using kappa values, and left-right phase symmetry was evaluated using correlation analysis. Results: Independent of the analysis method, a phase increase from the anterior to the posterior putamen, and the average phase value relationship substantia nigra > globus pallidus > red nucleus was found. Phase symmetry analysis shows a difference between lateralized and symmetric PD. Conclusion: The symmetric phase model helps to analyze phase data with similar accuracy, but a greatly reduced tracing effort compared to individual tracing and also allows evaluating left-right phase symmetries.
Keyword Brain nuclei
Iron content
Parkinson disease
Segmentation
Susceptibility weighted imaging
Symmetric phase model
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Centre for Advanced Imaging Publications
 
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