A segmentation concept for positron emission tomography imaging using multiresolution analysis

Neurocomputing

Volumn 71, Issue 10-12, 2008, Pages 1954-1965

  Amira, Abbes ^a   Chandrasekaran, Shrutisagar ^a   Montgomery, David W G ^b   Servan Uzun, Isa ^b  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

Co processing; Field programmable gate arrays (FPGAs); Gaussian mixture modelling; Medical image segmentation; Multiscale Markov modelling; Positron emission tomography (PET); Tumour quantification; Wavelet

Indexed keywords

BIOMEDICAL ENGINEERING; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; DIAGNOSIS; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); IMAGE ANALYSIS; IMAGE SEGMENTATION; IMAGING SYSTEMS; MEDICAL IMAGING; MULTIRESOLUTION ANALYSIS; OPTIMIZATION; WAVELET TRANSFORMS;

BAYESIAN INFORMATION CRITERION (BIC); EXPECTATION MAXIMIZATION (EM); GAUSSIAN MIXTURE MODELLING; MEDICAL IMAGE SEGMENTATION; MULTISCALE MARKOV MODELLING; TUMOR QUANTIFICATION;

POSITRON EMISSION TOMOGRAPHY;

ALGORITHM; ARTICLE; AUTOMATION; BAYESIAN LEARNING; CANCER DIAGNOSIS; CONTROLLED STUDY; HIDDEN MARKOV MODEL; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGING SYSTEM; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; THREE DIMENSIONAL IMAGING; TUMOR VOLUME;

EID: 44649088874     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.10.026     Document Type: Article

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