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Brain-tumor interaction biophysical models for medical image registration
Cosmina Hogea
, Christos Davatzikos
, George Biros
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Contribution to journal
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Article
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peer-review
33
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Keyphrases
Advection-diffusion PDE
50%
Approximate Model
50%
Argonne National Laboratory
50%
Biophysical Model
100%
Biophysical Phenomena
50%
Brain Image
50%
Brain Tissue
50%
Brain Tumor
100%
Constrained Optimization
50%
Dataset Optimization
50%
Deformable Image Registration
50%
Deformation Field
50%
Deformation Map
50%
Deformation Prediction
50%
Derivative-free Optimization
50%
Diffusion Coefficient
50%
Elastic Deformation
50%
Excessive Deformation
50%
Fast Optimization
50%
Formulation Optimization
50%
Forward Model
50%
Forward Problem
50%
Four Degrees of Freedom
50%
Glioma
50%
Glioma Growth
50%
Image Similarity
100%
Infiltration
100%
Landmark-based
50%
Mass Effect
50%
Mechanical Deformation
50%
Medical Image Registration
100%
Optimization Framework
50%
Optimization Library
50%
Parameter Space
50%
Penalty Function
50%
Penalty Term
50%
PETSc Library
50%
Primary Brain Tumor
50%
Reaction-diffusion-advection
50%
Registration Algorithm
50%
Results Validation
50%
Sandia National Laboratory
50%
Similarity Function
50%
Small Parameter
50%
Smoothness Regularization
50%
State-of-the-art Techniques
50%
Structural Displacement
50%
Tumor
50%
Tumor Bulk
50%
Tumor Datasets
50%
Tumor Growth
100%
Tumor-bearing
50%
Two-way Coupling
50%
Computer Science
Biophysical Model
100%
Constrained Optimization
50%
Deformation Field
50%
Derivative-Free Optimization
50%
Image Similarity
100%
Optimization Algorithm
50%
Optimization Formulation
50%
Optimization Framework
50%
Parameter Space
50%
Partial Differential Equation
50%
Penalty Function
50%
Regularization
50%
Similarity Function
50%