Ebook: Deformable Models: Theory and Biomaterial Applications
- Tags: Biomedical Engineering, Imaging / Radiology, Theory of Computation
- Series: Topics in Biomedical Engineering. International Book Series
- Year: 2007
- Publisher: Springer-Verlag New York
- Edition: 1
- Language: English
- pdf
Deformable Models: Theory and Biomaterial Applications is the second installation in the two-volume set Deformable Models which provides a wide cross-section of the methods and algorithms of variational and PDE methods in biomedical image analysis. The chapters are written by 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 the volumes in bringing down to earth the latest in variational and PDE methods in modeling of soft tissues, covering the theory, algorithms, and applications of level sets and deformable models in medical image analysis.
Overall, the chapters of this volume provide an elegant cross-section of the theory and application of variational and PDE approaches 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.
Deformable Models: Theory and Biomaterial Applications is the second installation in the two-volume set Deformable Models which provides a wide cross-section of the methods and algorithms of variational and PDE methods in biomedical image analysis. The chapters are written by 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 the volumes in bringing down to earth the latest in variational and PDE methods in modeling of soft tissues, covering the theory, algorithms, and applications of level sets and deformable models in medical image analysis.
Overall, the chapters of this volume provide an elegant cross-section of the theory and application of variational and PDE approaches 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.
Deformable Models: Theory and Biomaterial Applications is the second installation in the two-volume set Deformable Models which provides a wide cross-section of the methods and algorithms of variational and PDE methods in biomedical image analysis. The chapters are written by 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 the volumes in bringing down to earth the latest in variational and PDE methods in modeling of soft tissues, covering the theory, algorithms, and applications of level sets and deformable models in medical image analysis.
Overall, the chapters of this volume provide an elegant cross-section of the theory and application of variational and PDE approaches 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.
Content:
Front Matter....Pages i-xvi
T-Surfaces Framework For Offset Generation And Semiautomatic 3d Segmentation....Pages 1-29
Parametric Contour Model In Medical Image Segmentation....Pages 31-74
Deformable Models And Their Application In Segmentation Of Imaged Pathology Specimens....Pages 75-94
Image Segmentation Using The Level Set Method....Pages 95-122
Parallel Co-Volume Subjective Surface Method For 3d Medical Image Segmentation....Pages 123-160
Volumetric Segmentation Using Shape Models In The Level Set Framework....Pages 161-207
Medical Image Segmentation Based On Deformable Models And Its Applications....Pages 209-260
Breast Strain Imaging: A Cad Framework....Pages 261-288
Alternate Spaces For Model Deformation: Application Of Stop And Go Active Models To Medical Images....Pages 289-324
Deformable Model-Based Segmentation Of The Prostate From Ultrasound Images....Pages 325-369
Segmentation Of Brain Mr Images Using J-Divergence Based Active Contour Models....Pages 371-391
Morphometric Analysis Of Normal And Pathologic Brain Structure Via High-Dimensional Shape Transformations....Pages 393-445
Efficient Kernel Density Estimation Of Shape And Intensity Priors For Level Set Segmentation....Pages 447-460
Volumetric Mri Analysis Of Dyslexic Subjects Using A Level Set Framework....Pages 461-492
Analysis Of 4-D Cardiac Mr Data With Nurbs Deformable Models: Temporal Fitting Strategy And Nonrigid Registration....Pages 493-534
Robust Neuroimaging-Based Classification Techniques Of Autistic Vs. Typically Developing Brain....Pages 535-566
Back Matter....Pages 567-581
Deformable Models: Theory and Biomaterial Applications is the second installation in the two-volume set Deformable Models which provides a wide cross-section of the methods and algorithms of variational and PDE methods in biomedical image analysis. The chapters are written by 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 the volumes in bringing down to earth the latest in variational and PDE methods in modeling of soft tissues, covering the theory, algorithms, and applications of level sets and deformable models in medical image analysis.
Overall, the chapters of this volume provide an elegant cross-section of the theory and application of variational and PDE approaches 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.
Content:
Front Matter....Pages i-xvi
T-Surfaces Framework For Offset Generation And Semiautomatic 3d Segmentation....Pages 1-29
Parametric Contour Model In Medical Image Segmentation....Pages 31-74
Deformable Models And Their Application In Segmentation Of Imaged Pathology Specimens....Pages 75-94
Image Segmentation Using The Level Set Method....Pages 95-122
Parallel Co-Volume Subjective Surface Method For 3d Medical Image Segmentation....Pages 123-160
Volumetric Segmentation Using Shape Models In The Level Set Framework....Pages 161-207
Medical Image Segmentation Based On Deformable Models And Its Applications....Pages 209-260
Breast Strain Imaging: A Cad Framework....Pages 261-288
Alternate Spaces For Model Deformation: Application Of Stop And Go Active Models To Medical Images....Pages 289-324
Deformable Model-Based Segmentation Of The Prostate From Ultrasound Images....Pages 325-369
Segmentation Of Brain Mr Images Using J-Divergence Based Active Contour Models....Pages 371-391
Morphometric Analysis Of Normal And Pathologic Brain Structure Via High-Dimensional Shape Transformations....Pages 393-445
Efficient Kernel Density Estimation Of Shape And Intensity Priors For Level Set Segmentation....Pages 447-460
Volumetric Mri Analysis Of Dyslexic Subjects Using A Level Set Framework....Pages 461-492
Analysis Of 4-D Cardiac Mr Data With Nurbs Deformable Models: Temporal Fitting Strategy And Nonrigid Registration....Pages 493-534
Robust Neuroimaging-Based Classification Techniques Of Autistic Vs. Typically Developing Brain....Pages 535-566
Back Matter....Pages 567-581
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