LEADER 05429nam 2200613Ia 450 001 9910782530203321 005 20220706112841.0 010 $a1-281-92852-6 010 $a9786611928520 010 $a9786612167263 010 $a0-08-055914-X 035 $a(CKB)1000000000579074 035 $a(EBL)405937 035 $a(OCoLC)437246546 035 $a(Au-PeEL)EBL405937 035 $a(CaPaEBR)ebr10269295 035 $a(CaONFJC)MIL192852 035 $a(MiAaPQ)EBC405937 035 $a(PPN)170603407 035 $a(EXLCZ)991000000000579074 100 $a20090107d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 200 00$aHandbook of medical image processing and analysis$b[electronic resource] /$fedited by Issac N. Bankman 205 $a2nd ed. 210 $aAmsterdam $cElsevier/Academic Press$dc2009 215 $a1 online resource (1009 p.) 225 1 $aAcademic Press series in biomedical engineering 300 $aDescription based upon print version of record. 311 $a0-12-373904-7 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Handbook of Medical Image Processing and Analysis; Copyright Page; Contents; Foreword; Contributors; Preface; Acknowledgments; Part I Enhancement; Chapter 1 Fundamental Enhancement Techniques; 1.1 Introduction; 1.2 Preliminaries and Definitions; 1.3 Pixel Operations; 1.4 Local Operators; 1.5 Operations with Multiple Images; 1.6 Frequency Domain Techniques; 1.7 Concluding Remarks; 1.8 References; Chapter 2 Adaptive Image Filtering; 2.1 Introduction; 2.2 Multidimensional Spatial Frequencies and Filtering; 2.3 Random Fields and Wiener Filtering; 2.4 Adaptive Wiener Filters 327 $a2.5 Anisotropic Adaptive Filtering2.6 References; Chapter 3 Enhancement by Multiscale Nonlinear Operators; 3.1 Introduction; 3.2 One-Dimensional Discrete Dyadic Wavelet Transform; 3.3 Linear Enhancement and Unsharp Masking; 3.4 Nonlinear Enhancement by Functional Mapping; 3.5 A Method for Combined Denoising and Enhancement; 3.6 Two-Dimensional Extension; 3.7 Experimental Results and Comparison; 3.8 Conclusion; 3.9 References; Chapter 4 Medical Image Enhancement Using Fourier Descriptors and Hybrid Filters; 4.1 Introduction; 4.2 Design of the Hybrid Filter; 4.3 Experimental Results 327 $a4.4 Discussion and Conclusion4.5 References; Part II Segmentation; Chapter 5 Overview and Fundamentals of Medical Image Segmentation; 5.1 Introduction; 5.2 Thresholding; 5.3 Region Growing; 5.4 Watershed Algorithm; 5.5 Edge-Based Segmentation Techniques; 5.6 Multispectral Techniques; 5.7 Other Techniques; 5.8 Concluding Remarks; 5.9 References; Chapter 6 Image Segmentation by Fuzzy Clustering: Methods and Issues; 6.1 Introduction; 6.2 The Quantitative Basis of Fuzzy Image Segmentation; 6.3 Qualitative Discussion of a Few Fuzzy Image Segmentation Methods; 6.4 Conclusions and Discussion 327 $a6.5 ReferencesChapter 7 Segmentation with Neural Networks; 7.1 Introduction; 7.2 Structure and Function of the GRBF Network; 7.3 Training Procedure; 7.4 Application to Medical Image Segmentation; 7.5 Image Data; 7.6 Preprocessing; 7.7 Vector Quantization; 7.8 Classification; 7.9 Results; 7.10 Discussion; 7.11 Topical Applications, Conceptual Extensions, and Outlook; 7.12 Conclusion and Outlook; 7.13 References; Chapter 8 Deformable Models; 8.1 Introduction; 8.2 Mathematical Foundations of Deformable Models; 8.3 Medical Image Analysis with Deformable Models; 8.4 Discussion; 8.5 Conclusion 327 $a8.6 ReferencesChapter 9 Shape Information in Deformable Models; 9.1 Background; 9.2 Global Shape Constraints; 9.3 Level Set Methods Incorporating Generic Constraints; 9.4 Conclusions; 9.5 References; Chapter 10 Gradient Vector Flow Deformable Models; 10.1 Introduction; 10.2 Background; 10.3 GVF Deformable Contours; 10.4 Experiments; 10.5 3D GVF Deformable Models and Results; 10.6 Discussion; 10.7 Conclusions; 10.8 References; Chapter 11 Fully Automated Hybrid Segmentation of the Brain; 11.1 Introduction; 11.2 Brain Segmentation Method; 11.3 Other Brain Segmentation Techniques; 11.4 Summary 327 $a11.5 References 330 $aThe Handbook of Medical Image Processing and Analysis is a comprehensive compilation of concepts and techniques used for processing and analyzing medical images after they have been generated or digitized. The Handbook is organized into six sections that relate to the main functions: enhancement, segmentation, quantification, registration, visualization, and compression, storage and communication.The second edition is extensively revised and updated throughout, reflecting new technology and research, and includes new chapters on: higher order statistics for tissue segmentation; tumor g 410 0$aAcademic Press series in biomedical engineering. 606 $aDiagnostic imaging$xDigital techniques$vHandbooks, manuals, etc 606 $aImaging systems in medicine$vHandbooks, manuals, etc 615 0$aDiagnostic imaging$xDigital techniques 615 0$aImaging systems in medicine 676 $a616.07 676 $a616.07/54 676 $a616.0754 701 $aBankman$b I. N$g(Isaac N.)$01545404 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910782530203321 996 $aHandbook of medical image processing and analysis$93800334 997 $aUNINA