Kidney tumor growth prediction by coupling reaction-diffusion and biomechanical model

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 1, 2013, Pages 169-173

  Chen, Xinjian ^a   Summers, Ronald M ^b   Yao, Jianhua ^b  

^a SOOCHOW UNIVERSITY   (China)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Biomechanical model; finite element method (FEM); kidney tumor; reaction diffusion model; tumor growth prediction

Indexed keywords

BIOMECHANICAL MODEL; BIOMECHANICAL PROPERTIES; HYBRID OPTIMIZATION; KIDNEY CT; MODEL PARAMETERS; OBJECTIVE FUNCTIONS; PARALLEL SEARCH; PREDICTION SYSTEMS; REACTION DIFFUSION; REACTION-DIFFUSION MODELS; TIME POINTS; TISSUE TYPES; TUMOR GROWTH; TUMOR GROWTH MODELS;

BIOMECHANICS; COMPUTERIZED TOMOGRAPHY; DIFFUSION IN LIQUIDS; OPTIMIZATION; TUMORS;

FINITE ELEMENT METHOD;

ACCURACY; ADULT; ANALYTICAL PARAMETERS; ARTICLE; BIOMECHANICS; CELL DENSITY; CELL PROLIFERATION; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; FEMALE; FINITE ELEMENT ANALYSIS; HUMAN; HUMAN CELL; KIDNEY CORTEX; KIDNEY MEDULLA; KIDNEY PELVIS; KIDNEY TUMOR; LONGITUDINAL STUDY; MALE; REACTION DIFFUSION MODEL; TUMOR GROWTH; TUMOR MODEL; TUMOR VOLUME;

ADULT; BIOMECHANICAL PHENOMENA; DIFFUSION; FEMALE; FINITE ELEMENT ANALYSIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; KIDNEY NEOPLASMS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; REPRODUCIBILITY OF RESULTS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84871802361     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2222027     Document Type: Article

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