DocumentCode :
1939836
Title :
Respiratory Noise Correction Using Phase Information
Author :
Cheng, Hu ; Li, Yu
Author_Institution :
Dept. of Psychological & Brain Sci., Indiana Univ., Bloomington, IN
Volume :
2
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
733
Lastpage :
736
Abstract :
A novel method called RCP is proposed to correct for the respiratory noise in functional MRI using phase information of the complex image data. The hypothesis is that the information of the respiration-induced signal change is embedded in the phase variation, which can be measured readily. Respiratory noise is significantly reduced after the correction. The new method is compared with RETROICOR and showed comparable results. RCP is superior to RETROICOR in case the respiration deviates from being periodic. This technique is useful for correcting respiratory noise from abnormal breathing.
Keywords :
biomedical MRI; image denoising; medical image processing; pneumodynamics; RETROICOR; abnormal breathing; complex image data; functional MRI; phase information; phase variation; respiration-induced signal change; respiratory noise correction; Biomedical engineering; Biomedical informatics; Biomedical monitoring; Filtering; Frequency; Magnetic resonance imaging; Noise reduction; Phase noise; Power harmonic filters; Wiener filter; Phase; Respiratory Noise; fMRI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
Type :
conf
DOI :
10.1109/BMEI.2008.334
Filename :
4549272
Link To Document :
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