Nonlinear registration based on the approximation of radial basis function coefficients

Journal of Medical and Biological Engineering

Volumn 28, Issue 3, 2008, Pages 119-126

  Liu, Jia Xiu ^a   Chen, Yong Sheng ^a   Chen, Li Fen ^b,c  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b NATIONAL YANG MING UNIVERSITY   (Taiwan)

^c TAIPEI VETERANS GENERAL HOSPITAL   (Taiwan)

Author keywords

Magnetic resonance imaging (MRI); Nonlinear registration; Radial basis function (RBF)

Indexed keywords

APPROXIMATION THEORY; ATTITUDE CONTROL; DEFORMATION; FEEDFORWARD NEURAL NETWORKS; IMAGE REGISTRATION; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; OPTIMIZATION; POLYNOMIAL APPROXIMATION; PROBABILITY DENSITY FUNCTION; RADIAL BASIS FUNCTION NETWORKS;

APPROXIMATION METHODS; AUTOMATIC REGISTRATIONS; BASIS FUNCTIONS; DIRECT SEARCHING; ELASTIC REGISTRATIONS; MATCHING MECHANISMS; MEDICAL IMAGES; NONLINEAR REGISTRATION; NONLINEAR REGISTRATIONS; RADIAL BASIS FUNCTION (RBF); RADIAL BASIS FUNCTIONS; REGULAR MESHES; SPATIAL INTERPRETATIONS; SPATIAL RELATIONSHIPS; STATISTICAL PARAMETRIC MAPPINGS; THREE DEGREES OF FREEDOMS; TO MANY;

IMAGE ENHANCEMENT;

ACCURACY; ARTICLE; AUTOMATION; CORRELATION COEFFICIENT; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; INTERMETHOD COMPARISON; NONLINEAR SYSTEM; PROCESS OPTIMIZATION; RADIODIAGNOSIS; SIMULATION; STATISTICAL PARAMETERS;

EID: 57049132825     PISSN: 16090985     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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