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Volumn 21, Issue 6, 2002, Pages 596-603
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Krylov subspace iterative techniques: On the detection of brain activity with electrical impedance tomography
a a a |
Author keywords
Brain activity; Computational efficiency; Conjugate gradients; Electrical impedance tomography; Regularization
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Indexed keywords
ALGORITHMS;
BRAIN;
COMPUTER SIMULATION;
ELECTRIC IMPEDANCE TOMOGRAPHY;
IMAGE RECONSTRUCTION;
ITERATIVE METHODS;
LARGE SCALE SYSTEMS;
MATHEMATICAL MODELS;
NONLINEAR SYSTEMS;
TISSUE;
PRE-CONDITIONED CONJUGATE GRADIENTS (PCG);
MEDICAL IMAGING;
DIAGNOSTIC AGENT;
ALGORITHM;
ARTICLE;
BIOLOGICAL MODEL;
BRAIN MAPPING;
COMPARATIVE STUDY;
COMPUTER SIMULATION;
FINITE ELEMENT ANALYSIS;
HEAD;
HISTOLOGY;
HUMAN;
IMAGE ENHANCEMENT;
IMPEDANCE;
METHODOLOGY;
PHYSIOLOGY;
STATISTICAL MODEL;
THREE DIMENSIONAL IMAGING;
TOMOGRAPHY;
VISUAL CORTEX;
ALGORITHMS;
BRAIN MAPPING;
COMPUTER SIMULATION;
ELECTRIC IMPEDANCE;
FINITE ELEMENT ANALYSIS;
HEAD;
HUMANS;
IMAGE ENHANCEMENT;
IMAGING, THREE-DIMENSIONAL;
MODELS, BIOLOGICAL;
MODELS, STATISTICAL;
TOMOGRAPHY;
VISUAL CORTEX;
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EID: 0036591477
PISSN: 02780062
EISSN: None
Source Type: Journal
DOI: 10.1109/TMI.2002.800607 Document Type: Article |
Times cited : (57)
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References (26)
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