A statistical physiological-model-constrained framework for computational imaging of subject-specific volumetric cardiac electrophysiology using optical imaging and MRI data

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

Volumn 6364 LNCS, Issue , 2010, Pages 261-269

  Wang, Linwei ^a   Wong, Ken C L ^b   Zhang, Heye ^c   Liu, Huafeng ^d   Shi, Pengcheng ^a  

^a ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

^b INRIA   (France)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

^d ZHEJIANG UNIVERSITY   (China)

Author keywords

Cardiac electrophysiological imaging; MRI; optical imaging; tissue excitability; transmembrane potential

Indexed keywords

CARDIAC ELECTROPHYSIOLOGY; COMPUTATIONAL IMAGING; ELECTROPHYSIOLOGICAL IMAGING; ELECTROPHYSIOLOGICAL MODELS; MAXIMUM A POSTERIORI ESTIMATION; MRI; OPTICAL IMAGING; OPTICAL MAPPING; SIMPLIFIED MODELS; STANDARD MODEL; SUBJECT-SPECIFIC; TRANSMEMBRANE POTENTIALS; VENTRICULAR MYOCARDIUM;

BIOELECTRIC POTENTIALS; ELECTROPHYSIOLOGY; HEART; MAGNETIC RESONANCE IMAGING; MODEL STRUCTURES; NEUROLOGY; OPTICAL IMAGE STORAGE; PARAMETER ESTIMATION; STANDARDS; THERMOMECHANICAL PULPING PROCESS; THREE DIMENSIONAL;

PHYSIOLOGICAL MODELS;

EID: 78049364660     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15835-3_27     Document Type: Conference Paper

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