Markov chain Monte Carlo techniques and spatial-temporal modelling for medical EIT

Physiological Measurement

Volumn 25, Issue 1, 2004, Pages 181-194

  West, Robert M ^a   Aykroyd, Robert G ^a   Meng, Sha ^a   Williams, Richard A ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Bayesian methods; EIT; Electrical impedance tomography; Inverse

Indexed keywords

BAYESIAN NETWORKS; CHAINS; DIFFERENTIAL EQUATIONS; ELECTRIC IMPEDANCE; ELECTRIC IMPEDANCE MEASUREMENT; ELECTRIC IMPEDANCE TOMOGRAPHY; IMPORTANCE SAMPLING; INVERSE PROBLEMS; MARKOV PROCESSES; MEDICAL IMAGING;

BAYESIAN METHODS; ELECTRICAL IMPE DANCE TOMOGRAPHY (EIT); IMAGING PROBLEMS; INVERSE; MARKOV CHAIN MONTE CARLO TECHNIQUES; PROBLEM-BASED; SOLUTION DISTRIBUTION; SOLUTION OF INVERSE PROBLEMS; SPATIAL SMOOTHING; SPATIAL TEMPORAL MODEL;

MEDICAL APPLICATIONS;

BAYES THEOREM; COMPUTER ASSISTED IMPEDANCE TOMOGRAPHY; CONFERENCE PAPER; CORRELATION ANALYSIS; DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; ELECTRIC POTENTIAL; ELECTRIC RESISTANCE; GEOMETRY; HEART EJECTION FRACTION; HEART FUNCTION; IMAGE QUALITY; LUNG FUNCTION; MASKING; MATHEMATICAL ANALYSIS; MODEL; MONTE CARLO METHOD; NONLINEAR SYSTEM; PHYSICAL MODEL; PRIORITY JOURNAL; PROBABILITY; RESIDUAL VOLUME; SAMPLING; SPATIAL MODEL; SURGICAL ANATOMY; TEMPORAL MODEL;

EID: 1342311393     PISSN: 09673334     EISSN: None     Source Type: Journal    
DOI: 10.1088/0967-3334/25/1/025     Document Type: Conference Paper

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