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Informationen zum Autor Dr. Amine Naït-Ali is an Associate Professor at the University Paris 12 (France), and a member of the Laboratory LISSI. His research interests are focused on physiological signal processing and analysis, optimisation using metaheuristics, none linear system modeling, biosignal and medical image compression. Dr. Christine Cavaro-Ménard is an Associate Professor at the University of Angers (France), and a member of the Laboratory LISA. Her research interests include medical image processing (segmentation, classification, texture analysis, registration) for diagnosis assistance, medical image compression and quality evaluation of compressed medical images. Klappentext During the last decade, image and signal compression for storage and transmission purpose has seen a great expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made in imaging systems, storing systems and telemedicine makes compression in this field particularly interesting. However, this compression has to be adapted to the specificities of biomedical data which contain diagnosis information. As such, this book offers an overview of compression techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static and dynamic volumetric images. Researchers, clinicians, engineers and professionals in this area, along with postgraduate students in the signal and image processing field, will find this book to be of great interest. Zusammenfassung This book offers an overview of compression techniques applied to medical data! including: physiological signals! MRI! X-ray! ultrasound images! static! and dynamic volumetric images. Inhaltsverzeichnis Preface xiii Chapter 1. Relevance of Biomedical Data Compression 1 Jean-Yves TANGUY, Pierre JALLET, Christel LE BOZEC and Guy FRIJA 1.1. Introduction 1 1.2. The management of digital data using PACS 2 1.2.1. Usefulness of PACS 2 1.2.2. The limitations of installing a PACS 3 1.3. The increasing quantities of digital data 4 1.3.1. An example from radiology 4 1.3.2. An example from anatomic pathology 6 1.3.3. An example from cardiology with ECG 7 1.3.4. Increases in the number of explorative examinations 8 1.4. Legal and practical matters 8 1.5. The role of data compression. 9 1.6. Diagnostic quality 10 1.6.1. Evaluation 10 1.6.2. Reticence 11 1.7. Conclusion 12 1.8. Bibliography 12 Chapter 2. State of the Art of Compression Methods 15 Atilla BASKURT 2.1. Introduction 15 2.2. Outline of a generic compression technique 16 2.2.1. Reducing redundancy 17 2.2.2. Quantizing the decorrelated information 18 2.2.3. Coding the quantized values 18 2.2.4. Compression ratio, quality evaluation 20 2.3. Compression of still images 21 2.3.1. JPEG standard 22 2.3.1.1. Why use DCT? 22 2.3.1.2. Quantization 24 2.3.1.3. Coding 24 2.3.1.4. Compression of still color images with JPEG 25 2.3.1.5. JPEG standard: conclusion 26 2.3.2. JPEG 2000 standard 27 2.3.2.1. Wavelet transform 27 2.3.2.2. Decomposition of images with the wavelet transform 27 2.3.2.3. Quantization and coding of subbands 29 2.3.2.4. Wavelet-based compression methods, serving as references 30 2.3.2.5. JPEG 2000 standard 31 2.4. The compression of image sequences 33 2.4.1. DCT-based video compression scheme 34 2.4.2. A history of and comparison between video standards 36 2.4.3. Recent developments in video compression 38 2.5. Compressing 1D signals 38 2.6. The compression of 3D objects 39 2.7...
