Modelling parameter role on accuracy of cardiac perfusion quantification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7945 LNCS, Issue , 2013, Pages 370-382

  Zarinabad, Niloufar ^a   Chiribiri, Amedeo ^a   Hautvast, Gilion L T F ^b   Shuster, Andreas ^a   Sinclair, Matthew ^a   Van Den Wijngaard, Jeroen P H M ^c   Smith, Nicolas ^a   Spaan, Jos A E ^c   Siebes, Maria ^c   Breeuwer, Marcel ^b   Nagel, Eike ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b PHILIPS RESEARCH LABORATORIES   (Germany)

^c ACADEMIC MEDICAL CENTER   (Netherlands)

Author keywords

Deconvolution; Model order; Perfusion quantification

Indexed keywords

AUTO-REGRESSIVE MOVING AVERAGE MODEL; CARDIOVASCULAR MAGNETIC RESONANCES; DECONVOLUTION TECHNIQUES; MODEL ORDER; PARAMETER DETERMINATION; PERFUSION QUANTIFICATION; QUANTITATIVE MEASUREMENT; SIGNAL-INTENSITY CURVES;

DECONVOLUTION; INTERPOLATION; MAGNETIC RESONANCE;

POSITRON EMISSION TOMOGRAPHY;

EID: 84879834670     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38899-6_44     Document Type: Conference Paper

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