E-Book, Englisch, 581 Seiten
Farag Deformable Models
1. Auflage 2007
ISBN: 978-0-387-68343-0
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Theory and Biomaterial Applications
E-Book, Englisch, 581 Seiten
ISBN: 978-0-387-68343-0
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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.
Autoren/Hrsg.
Weitere Infos & Material
1;PREFACE;5
2;CONTENTS;7
3;CONTRIBUTORS;13
4;T-SURFACES FRAMEWORK FOR OFFSET GENERATION AND SEMIAUTOMATIC 3D SEGMENTATION;17
5;PARAMETRIC CONTOUR MODEL IN MEDICAL IMAGE SEGMENTATION;46
6;DEFORMABLE MODELS AND THEIR APPLICATION IN SEGMENTATION OF IMAGED PATHOLOGY SPECIMENS;90
7;IMAGE SEGMENTATION USING THE LEVEL SET METHOD;110
8;PARALLEL CO-VOLUME SUBJECTIVE SURFACE METHOD FOR 3D MEDICAL IMAGE SEGMENTATION;138
9;VOLUMETRIC SEGMENTATION USING SHAPE MODELS IN THE LEVEL SET FRAMEWORK;176
10;MEDICAL IMAGE SEGMENTATION BASED ON DEFORMABLE MODELS AND ITS APPLICATIONS;223
11;BREAST STRAIN IMAGING: A CAD FRAMEWORK;275
12;ALTERNATE SPACES FOR MODEL DEFORMATION: APPLICATION OF STOP AND GO ACTIVE MODELS TO MEDICAL IMAGES;303
13;DEFORMABLE MODEL-BASED SEGMENTATION OF THE PROSTATE FROM ULTRASOUND IMAGES;339
14;SEGMENTATION OF BRAIN MR IMAGES USING J- DIVERGENCE- BASED ACTIVE CONTOUR MODELS;384
15;MORPHOMETRIC ANALYSIS OF NORMAL AND PATHOLOGIC BRAIN STRUCTURE VIA HIGH- DIMENSIONAL SHAPE TRANSFORMATIONS;405
16;EFFICIENT KERNEL DENSITY ESTIMATION OF SHAPE AND INTENSITY PRIORS FOR LEVEL SET SEGMENTATION;458
17;VOLUMETRIC MRI ANALYSIS OF DYSLEXIC SUBJECTS USING A LEVEL SET FRAMEWORK;472
18;ANALYSIS OF 4-D CARDIAC MR DATA WITH NURBS DEFORMABLE MODELS: TEMPORAL FITTING STRATEGY AND NONRIGID REGISTRATION;504
19;ROBUST NEUROIMAGING-BASED CLASSIFICATION TECHNIQUES OF AUTISTIC VS. TYPICALLY DEVELOPING BRAIN;546
20;INDEX;578
