Biomedical Image Registration: Third International Workshop, WBIR 2006, Utrecht, The Netherlands, July 9-11, 2006, Proceedings: Lecture Notes in Computer Science, cartea 4057
Editat de Josien P.W. Pluim, Boštjan Likar, Frans A. Gerritsenen Limba Engleză Paperback – 30 iun 2006
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Specificații
ISBN-13: 9783540356486
ISBN-10: 3540356487
Pagini: 344
Ilustrații: XII, 324 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.48 kg
Ediția:2006
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540356487
Pagini: 344
Ilustrații: XII, 324 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.48 kg
Ediția:2006
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Medical Image Registration Based on BSP and Quad-Tree Partitioning.- A Bayesian Cost Function Applied to Model-Based Registration of Sub-cortical Brain Structures.- Automatic Inter-subject Registration of Whole Body Images.- Local Intensity Mapping for Hierarchical Non-rigid Registration of Multi-modal Images Using the Cross-Correlation Coefficient.- Multi-modal Image Registration Using Dirichlet-Encoded Prior Information.- Removal of Interpolation Induced Artifacts in Similarity Surfaces.- Symmetric Diffeomorphic Image Registration: Evaluating Automated Labeling of Elderly and Neurodegenerative Cortex and Frontal Lobe.- Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains.- Canonical Correlation Analysis of Sub-cortical Brain Structures Using Non-rigid Registration.- A Novel 3D/2D Correspondence Building Method for Anatomy-Based Registration.- 2D-to-3D X-Ray Breast Image Registration.- Variational Image Registration with Local Properties.- Geometrical Regularization of Displacement Fields with Application to Biological Image Registration.- Myocardial Deformation Recovery Using a 3D Biventricular Incompressible Model.- A Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration.- to the Non-rigid Image Registration Evaluation Project (NIREP).- A Unified Framework for Atlas Based Brain Image Segmentation and Registration.- Deformable Physiological Atlas-Based Programming of Deep Brain Stimulators: A Feasibility Study.- A Comparison of Acceleration Techniques for Nonrigid Medical Image Registration.- Evaluation of Similarity Measures for Non-rigid Registration.- Computing the Geodesic Interpolating Spline.- Combining Registration and Abnormality Detection in Mammography.- Point Similarity Measures Based on MRF Modeling of Difference Images for Spline-Based 2D-3D Rigid Registration of X-Ray Fluoroscopy to CT Images.- Clinical Application of a Semiautomatic 3D Fusion Tool Where Automatic Fusion Techniques Are Difficult to Use.- Comparison Between Parzen Window Interpolation and Generalised Partial Volume Estimation for Nonrigid Image Registration Using Mutual Information.- Elastic Registration Algorithm of Medical Images Based on Fuzzy Set.- PET/CT Rigid-Body Registration in Radiation Treatment Planning Settings: Phantom Validation and Strategy Investigation.- 3D Mouse Brain Reconstruction from Histology Using a Coarse-to-Fine Approach.- A Generalization of Free-Form Deformation Image Registration Within the ITK Finite Element Framework.- A Novel Projection Based Approach for Medical Image Registration.- Combining Homogenization and Registration.- High-Dimensional Normalized Mutual Information for Image Registration Using Random Lines.- 2D/3D Registration of Neonatal Brain Images.- Robust Optimization Using Disturbance for Image Registration.- MR-CT Image Registration in Liver Cancer Treatment with an Open Configuration MR Scanner.- Nonrigid Registration of Multitemporal CT and MR Images for Radiotherapy Treatment Planning.- 3D Statistical Shape Modeling of Long Bones.- Point-Based Registration with Known Correspondence: Closed Form Optimal Solutions and Properties.