Improved reconstruction for PROPELLER data in magnetic resonance imaging based on fuzzy enhancement / 南方医科大学学报
Journal of Southern Medical University
;
(12): 618-620, 2007.
Article
in Chinese
| WPRIM
| ID: wpr-268066
ABSTRACT
To improve the conventional reconstruction algorithm for PROPELLER MRI data, we propose a new algorithm based on fuzzy enhancement. The motion parameters were extracted from fuzzy enhanced images reconstructed through zero-padding strips. After motion compensation, the image was obtained through gridding reconstruction. The experiment results showed that this algorithm could estimate and compensate the motion more robustly and precisely, and the motion artifacts could be better suppressed to obtain improved image quality.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Brain
/
Diagnostic Imaging
/
Magnetic Resonance Imaging
/
Image Enhancement
/
Radiography
/
Methods
Type of study:
Diagnostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Southern Medical University
Year:
2007
Type:
Article
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