Deformable Models : Theory and Biomaterial 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 600 p.
• 言語 ENG
• 商品コード 9780387312040

基本説明

Covers the complete spectrum of deformable models - its evolution as an imagery field and its use in many biomedical engineering and clinical application disciplines.

Full Description

In the biomedical field, biomedical imagery 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: Theory and Biomaterial Applications focuses on the core image processing techniques: theory and biomaterials useful to research and industry.

Contents

T-Surfaces Framework For Offset Generation And Semiautomatic 3d Segmentation.- Parametric Contour Model In Medical Image Segmentation.- Deformable Models And Their Application In Segmentation Of Imaged Pathology Specimens.- Image Segmentation Using The Level Set Method.- Parallel Co-Volume Subjective Surface Method For 3d Medical Image Segmentation.- Volumetric Segmentation Using Shape Models In The Level Set Framework.- Medical Image Segmentation Based On Deformable Models And Its Applications.- Breast Strain Imaging: A Cad Framework.- Alternate Spaces For Model Deformation: Application Of Stop And Go Active Models To Medical Images.- Deformable Model-Based Segmentation Of The Prostate From Ultrasound Images.- Segmentation Of Brain Mr Images Using J-Divergence Based Active Contour Models.- Morphometric Analysis Of Normal And Pathologic Brain Structure Via High-Dimensional Shape Transformations.- Efficient Kernel Density Estimation Of Shape And Intensity Priors For Level Set Segmentation.- Volumetric Mri Analysis Of Dyslexic Subjects Using A Level Set Framework.- Analysis Of 4-D Cardiac Mr Data With Nurbs Deformable Models: Temporal Fitting Strategy And Nonrigid Registration.- Robust Neuroimaging-Based Classification Techniques Of Autistic Vs. Typically Developing Brain.