简介
Deformable Models: Biomedical and Clinical Applications is the first entry in the two-volume set which provides a wide cross-section of the methods and algorithms of variational and Partial-Differential Equations (PDE) methods in biomedical image analysis. The chapters of Deformable Models: Biomedical and Clinical Applications are written by the well-known researchers in this field, and the presentation style goes beyond an intricate abstraction of the theory into real application of the methods and description of the algorithms that were implemented. As such these chapters will serve the main goal of the editors of these two volumes in bringing down to earth the latest in variational and PDE methods in modeling of soft tissues. Overall, the chapters in the first volume provide an elegant cross-section of the theory and application of variational and PDE approaches in medical image analysis. This volume introduces, discusses, and provides solutions for problems ranging from structural inversion to models for cardiac segmentation, and other applications in medical image analysis. Graduate students and researchers at various levels of familiarity with these techniques will find the volume very useful for understanding the theory and algorithmic implementations. In addition, the various case studies provided demonstrate the power of these techniques in clinical applications. Researchers at various levels will find these chapters useful to understand the theory, algorithms, and implementation of many of these approaches.
目录
Front matter 1-31
Simulating Bacterial Biofilms 33-60
Distance Transform Algorithms And Their Implementation And Evaluation 61-90
Level Set Techniques For Structural Inversion In Medical Imaging 91-131
Shape And Texture-Based Deformable Models For Facial Image Analysis 133-162
Detection Of The Breast Contour In Mammograms By Using Active Contour Models 163-193
Statistical deformable models for cardiac Segmentation and Functional Analysis In Gated-Spect Studies 195-233
Level Set Formulation For Dual Snake Models 235-258
Accurate Tracking Of Monotonically Advancing Fronts 259-292
Toward Consistently Behaving Deformable Models For Improved Automation In Image Segmentation 293-333
Application Of Deformable Models For The Detection Of Acute Renal Rejection 335-386
Physically And Statistically Based Deformable Models For Medical Image Analysis 387-443
Deformable Organisms For Medical Image Analysis 445-475
Pde-Based Three Dimensional Path Planning For Virtual Endoscopy 477-515
Object Tracking In Image Sequence Combining Hausdorff Distance, Non-Extensive Entropy In Level Set Formulation 517-541
Deformable Model-Based Image Registration 543-556
Back matter Back matter
Simulating Bacterial Biofilms 33-60
Distance Transform Algorithms And Their Implementation And Evaluation 61-90
Level Set Techniques For Structural Inversion In Medical Imaging 91-131
Shape And Texture-Based Deformable Models For Facial Image Analysis 133-162
Detection Of The Breast Contour In Mammograms By Using Active Contour Models 163-193
Statistical deformable models for cardiac Segmentation and Functional Analysis In Gated-Spect Studies 195-233
Level Set Formulation For Dual Snake Models 235-258
Accurate Tracking Of Monotonically Advancing Fronts 259-292
Toward Consistently Behaving Deformable Models For Improved Automation In Image Segmentation 293-333
Application Of Deformable Models For The Detection Of Acute Renal Rejection 335-386
Physically And Statistically Based Deformable Models For Medical Image Analysis 387-443
Deformable Organisms For Medical Image Analysis 445-475
Pde-Based Three Dimensional Path Planning For Virtual Endoscopy 477-515
Object Tracking In Image Sequence Combining Hausdorff Distance, Non-Extensive Entropy In Level Set Formulation 517-541
Deformable Model-Based Image Registration 543-556
Back matter Back matter
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