Compensation of modelling errors due to unknown domain boundary in electrical impedance tomography

IEEE Transactions on Medical Imaging

Volumn 30, Issue 2, 2011, Pages 231-242

  Nissinen, Antti ^a   Kolehmainen, Ville Petteri ^a   Kaipio, Jari P ^a,b  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Bayesian inversion; electrical impedance tomography; inverse problem; modelling errors; reduced order model

Indexed keywords

APPROXIMATE MODEL; APPROXIMATION ERRORS; BAYESIAN INVERSION; BODY SHAPES; CLINICAL MEASUREMENTS; COMPUTATIONAL MODEL; COMPUTATIONALLY EFFICIENT; DISCRETIZATIONS; DOMAIN BOUNDARY; ELECTRICAL IMPEDANCE TOMOGRAPHY; EXPERIMENTAL DATA; FORWARD MODELS; MODEL DOMAINS; MODELING ERRORS; MODELLING ERROR; MODELLING ERRORS; NUMERICAL APPROXIMATIONS; RECONSTRUCTION ARTEFACTS; REDUCED ORDER MODELS;

BAYESIAN NETWORKS; DIAGNOSTIC RADIOGRAPHY; ELECTRIC IMPEDANCE; ELECTRIC IMPEDANCE MEASUREMENT; ELECTRIC IMPEDANCE TOMOGRAPHY; INVERSE PROBLEMS; KNOWLEDGE BASED SYSTEMS;

MEASUREMENT ERRORS;

ARTICLE; BAYES THEOREM; COMPUTER SIMULATION; HISTOLOGY; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; IMPEDANCE; METHODOLOGY; MONTE CARLO METHOD; THEORETICAL MODEL; THORAX; TOMOGRAPHY;

BAYES THEOREM; COMPUTER SIMULATION; ELECTRIC IMPEDANCE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, THEORETICAL; MONTE CARLO METHOD; PHANTOMS, IMAGING; THORAX; TOMOGRAPHY;

EID: 79551577471     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2073716     Document Type: Article

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