DocumentCode :
1222871
Title :
SNR enhancement in radial SSFP imaging using partial k-space averaging
Author :
Winkelmann, Stefanie ; Schaeffter, Tobias ; Eggers, Holger ; Doessel, Olaf
Author_Institution :
Div. Tech. Syst., Philips Res. Labs. Hamburg, Germany
Volume :
24
Issue :
2
fYear :
2005
Firstpage :
254
Lastpage :
262
Abstract :
The steady-state free precessing (SSFP) sequences, widely used in MR1 today, acquire data only during a short fraction of the repetition time (TR). Thus, they exhibit a poor scan efficiency. A novel approach to extending the acquisition window for a given TR without considerably modifying the basic sequence is explored for radial SSFP sequences. The additional data are primarily employed to increase the signal-to-noise ratio, rather than to improve the temporal resolution of the imaging. The approach is analyzed regarding its effect on the image SNR (signal to noise ratio) and the reconstruction algorithm. Results are presented for phantom experiments and cardiac functions studies. The gain in SNR is most notable in rapid imaging, since SNR enhancement for a constant repetition time may be used to compensate for the increase in noise resulting from angular undersampling.
Keywords :
biomedical MRI; cardiology; image enhancement; image reconstruction; image resolution; medical image processing; phantoms; cardiac functions studies; image reconstruction; magnetic resonance imaging; partial k-space averaging; phantom experiments; radial steady-state free precessing imaging; repetition time; signal-to-noise ratio enhancement; temporal resolution; Biomedical engineering; Biomedical imaging; Image reconstruction; Image resolution; Image sampling; Magnetic resonance imaging; Reconstruction algorithms; Signal to noise ratio; Spatial resolution; Steady-state; Averaging; SNR; SSFP sequences; magnetic resonance imaging; radial imaging; Algorithms; Artifacts; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Magnetic Resonance Imaging; Numerical Analysis, Computer-Assisted; Phantoms, Imaging; Reproducibility of Results; Sample Size; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2004.840845
Filename :
1388574
Link To Document :
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