Deformable Models : Biomedical and Clinical Applications (Topics in Biomedical Engineering. International Book Series)

Suri, J. S. (EDT)/ Farag, A. (EDT)

Springer（2007/08発売）

• 製本 Hardcover:ハードカバー版／ページ数 558 p.
• 言語 ENG
• 商品コード 9780387312019

Full Description

In the biomedical field, biomedical imaging has come to be a discipline of its own, given the nature of its applications in the understanding of the human body and medical diagnostics. The understanding of Deformable Models are the significant utility on biomedical imagery primarily because of its ability to perform efficient topology preservation and fast shape recovery. This has dominated the binary, grayscale and color imaging frameworks, which the eye can perceive. It has not only the ability to find boundaries and surfaces that are deep seated in 2-D and 3-D volumes respectively, but also provide satisfactory solutions for the completion of cognitive objects with missing boundaries.

Deformable Models: Biomedical and Clinical Applications will focus on the core mage processing techniques for biomedical and clinical applications.

Contents

Simulating Bacterial Biofilms.- Distance Transform Algorithms And Their Implementation And Evaluation.- Level Set Techniques For Structural Inversion In Medical Imaging.- Shape And Texture-Based Deformable Models For Facial Image Analysis.- Detection Of The Breast Contour In Mammograms By Using Active Contour Models.- Statistical deformable models for cardiac Segmentation and Functional Analysis In Gated-Spect Studies.- Level Set Formulation For Dual Snake Models.- Accurate Tracking Of Monotonically Advancing Fronts.- Toward Consistently Behaving Deformable Models For Improved Automation In Image Segmentation.- Application Of Deformable Models For The Detection Of Acute Renal Rejection.- Physically And Statistically Based Deformable Models For Medical Image Analysis.- Deformable Organisms For Medical Image Analysis.- Pde-Based Three Dimensional Path Planning For Virtual Endoscopy.- Object Tracking In Image Sequence Combining Hausdorff Distance, Non-Extensive Entropy In Level Set Formulation.- Deformable Model-Based Image Registration.