Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion

•Tumor growth prediction with physiological data fusion.•A tumor growth model with reaction-diffusion and hyperelastic biomechanical model.•A derivative-free global optimization algorithm for model parameter estimation.•Physiological data fusion of contrast-enhanced CT and FDG-PET images.•Average pr...

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Veröffentlicht in:	Medical image analysis Jg. 25; H. 1; S. 72 - 85
Hauptverfasser:	Wong, Ken C.L., Summers, Ronald M., Kebebew, Electron, Yao, Jianhua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.10.2015
Schlagworte:	Algorithms Biomechanical Phenomena Contrast Media Derivative-free optimization Fluorodeoxyglucose F18 Humans Model personalization Neoplasms - pathology Nonlinear solid mechanics Physiological data fusion Positron-Emission Tomography - methods Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted - methods Radiopharmaceuticals Sensitivity and Specificity Tomography, X-Ray Computed - methods Tumor growth prediction Nonlinear solid mechanics Model personalization Tumor growth prediction Physiological data fusion Derivative-free optimization
ISSN:	1361-8415, 1361-8423
Online-Zugang:	Volltext
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