Nonlinear stochastic regularization to characterize tissue residue function in bolus-tracking MRI: Assessment and comparison with SVD, block-circulant SVD, and tikhonov

IEEE Transactions on Biomedical Engineering

Volumn 56, Issue 5, 2009, Pages 1287-1297

  Zanderigo, Francesca ^a,b   Bertoldo, Alessandra ^a   Pillonetto, Gianluigi ^a   Cobelli, Claudio ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

Author keywords

Cerebral blood flow(CBF); Cerebral hemodynamics; Deconvolution; Dynamic susceptibility contrast magnetic resonance imaging (DSC MRI)

Indexed keywords

BLOCK CIRCULANT; CEREBRAL BLOOD FLOW(CBF); CEREBRAL HEMODYNAMICS; DECONVOLUTION METHOD; DECONVOLUTION PROBLEM; DYNAMIC SUSCEPTIBILITY CONTRAST-MAGNETIC RESONANCE IMAGING (DSC-MRI); NEGATIVE VALUES; RESIDUE FUNCTIONS; SIMULATED DATA; TIKHONOV REGULARIZATION; TISSUE RESIDUE;

BLOOD; CONVOLUTION; DIFFERENTIAL SCANNING CALORIMETRY; HEMODYNAMICS; HYDRODYNAMICS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MAGNETIC SUSCEPTIBILITY; RANDOM PROCESSES;

SINGULAR VALUE DECOMPOSITION;

ARTICLE; BOLUS TRACKING MAGNETIC RESONANCE IMAGING; BRAIN BLOOD FLOW; COMPARATIVE STUDY; CONTRAST ENHANCEMENT; DISPERSION; HEMODYNAMICS; NUCLEAR MAGNETIC RESONANCE IMAGING; OSCILLATION; STATISTICAL ANALYSIS; STATISTICS;

ALGORITHMS; BLOOD FLOW VELOCITY; BLOOD VOLUME; BRAIN; COMPUTER SIMULATION; HEMODYNAMICS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, CARDIOVASCULAR; NONLINEAR DYNAMICS; SIGNAL PROCESSING, COMPUTER-ASSISTED; STOCHASTIC PROCESSES;

EID: 67649159260     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2013820     Document Type: Article

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