Wavelet-based noise reduction for improved deconvolution of time-series data in dynamic susceptibility-contrast MRI

Magnetic Resonance Materials in Physics, Biology and Medicine

Volumn 18, Issue 3, 2005, Pages 113-118

  Wirestam, R ^a   Stahlberg F ^a  

^a LUND UNIVERSITY HOSPITAL   (Sweden)

Author keywords

Cerebral blood flow; Deconvolution; Dynamic susceptibility contrast; Magnetic resonance imaging; Noise; Perfusion; Wavelets

Indexed keywords

ACCURACY; ADULT; ARTICLE; BRAIN BLOOD FLOW; COMPUTER PROGRAM; EXPERIMENTATION; FEMALE; FILTRATION; FOURIER TRANSFORMATION; GRAY MATTER; HUMAN; MALE; MATHEMATICAL ANALYSIS; NOISE REDUCTION; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SIGNAL TRANSDUCTION; SIMULATION; TIME SERIES ANALYSIS; VOLUNTEER; WHITE MATTER;

ADULT; ALGORITHMS; ARTIFACTS; BLOOD FLOW VELOCITY; BRAIN; CEREBROVASCULAR CIRCULATION; CONTRAST MEDIA; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 23844534512     PISSN: 09685243     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10334-005-0102-z     Document Type: Article

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