Segmentation of brain MR images using a charged fluid model

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 10, 2007, Pages 1798-1813

  Chang, Herng Hua ^a   Valentino, Daniel J ^a,b   Duckwiler, Gary R ^a   Toga, Arthur W ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Radlink Inc   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Charged fluid model (CFM); Deformable models; Electrostatic equilibrium; Fast Fourier transform (FFT); Finite size particles (FSP); Magnetic resonance imaging (MRI); Poisson's equation; Segmentation

Indexed keywords

FAST FOURIER TRANSFORMS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; POISSON EQUATION;

CHARGED FLUID MODEL (CFM); DEFORMABLE MODELS; ELECTROSTATIC EQUILIBRIUM; FINITE-SIZE PARTICLES;

IMAGE SEGMENTATION;

ALGORITHM; ANATOMY; ARTICLE; BRAIN SLICE; CENTRAL NERVOUS SYSTEM; CHARGED FLUID MODEL; DENSITY; ELECTRIC FIELD; ELECTRICAL POTENTIAL PARAMETERS; ELECTRICITY; EQUILIBRIUM CONSTANT; EVOLUTION; HUMAN; IMAGE ANALYSIS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCESS MODEL; SENSITIVITY ANALYSIS; SIGNAL NOISE RATIO; SIMULATION;

BRAIN; BRAIN NEOPLASMS; COMPUTER SIMULATION; ELECTROSTATICS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; RHEOLOGY;

EID: 34548849108     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.895104     Document Type: Article

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