Compression of biomedical images and signals [[electronic resource] /] / edited by Amine Nait-Ali, Christine Cavaro-Menard

• Record Nr.: UNINA9910139467303321
• Autore: Naït-Ali Amine
• Pubbl/distr/stampa: London, : ISTE; Hoboken, NJ, : John Wiley & Sons, 2008
• ISBN: 1-282-16503-8; 9786612165030; 0-470-61115-4; 0-470-39378-5
• Edizione: [1st edition]
• Descrizione fisica: 1 online resource (330 p.)
• Collana: ISTE ; ; v.31
• Altri autori (Persone): Naït-AliAmine; Cavaro-MénardChristine
• Disciplina: 616.07/50285; 616.0750285
• Soggetti: Diagnosis - Data processing; Data compression (Computer science); Medical informatics; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes bibliographical references and index.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Compression of Biomedical Images and Signals; Table of Contents; Preface; Chapter 1. Relevance of Biomedical Data Compression; 1.1. Introduction; 1.2. The management of digital data using PACS; 1.2.1. Usefulness of PACS; 1.2.2. The limitations of installing a PACS; 1.3. The increasing quantities of digital data; 1.3.1. An example from radiology; 1.3.2. An example from anatomic pathology; 1.3.3. An example from cardiology with ECG; 1.3.4. Increases in the number of explorative examinations; 1.4. Legal and practical matters; 1.5. The role of data compression; 1.6. Diagnostic quality; 1.6.1. Evaluation1.6.2. Reticence; 1.7. Conclusion; 1.8. Bibliography; Chapter 2. State of the Art of Compression Methods; 2.1. Introduction; 2.2. Outline of a generic compression technique; 2.2.1. Reducing redundancy; 2.2.2. Quantizing the decorrelated information; 2.2.3. Coding the quantized values; 2.2.4. Compression ratio, quality ; evaluation; 2.3. Compression of still images; 2.3.1. JPEG standard; 2.3.1.1. Why use DCT?; 2.3.1.2. Quantization; 2.3.1.3. Coding; 2.3.1.4. Compression of still color images with JPEG; 2.3.1.5. JPEG standard: conclusion; 2.3.2. JPEG 2000 standard; 2.3.2.1. Wavelet transform2.3.2.2. Decomposition of images with the wavelet transform; 2.3.2.3. Quantization and coding of subbands; 2.3.2.4. Wavelet-based compression methods, serving as references; 2.3.2.5. JPEG 2000 standard; 2.4. The compression of image sequences; 2.4.1. DCT-based video compression scheme; 2.4.2. A history of and comparison between video standards; 2.4.3. Recent developments in video compression; 2.5. Compressing 1D signals; 2.6. The compression of 3D objects; 2.7. Conclusion and future developments; 2.8. Bibliography; Chapter 3. Specificities of Physiological Signals and Medical Images3.1. Introduction; 3.2. Characteristics of physiological signals; 3.2.1. Main physiological signals; 3.2.1.1. Electroencephalogram (EEG); 3.2.1.2. Evoked potential (EP); 3.2.1.3. Electromyogram (EMG); 3.2.1.4. Electrocardiogram (ECG); 3.2.2. Physiological signal acquisition; 3.2.3. Properties of physiological signals; 3.2.3.1. Properties of EEG signals; 3.2.3.2. Properties of ECG signals; 3.3. Specificities of medical images; 3.3.1. The different features of medical imaging formation processes; 3.3.1.1. Radiology; 3.3.1.2. Magnetic resonance imaging (MRI)3.3.1.3. Ultrasound; 3.3.1.4. Nuclear medicine; 3.3.1.5. Anatomopathological imaging; 3.3.1.6. Conclusion; 3.3.2. Properties of medical images; 3.3.2.1. The size of images; 3.3.2.2. Spatial and temporal resolution; 3.3.2.3. Noise in medical images; 3.4. Conclusion; 3.5. Bibliography; Chapter 4. Standards in Medical Image Compression; 4.1. Introduction; 4.2. Standards for communicating medical data; 4.2.1. Who creates the standards, and how?; 4.2.2. Standards in the healthcare sector; 4.2.2.1. Technical committee 251 of CEN; 4.2.2.2. Technical committee 215 of the ISO
• Sommario/riassunto: 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, i

Rugged free energy landscapes : common computational approaches in spin glasses, structural glasses, and biological macromolecules / / edited by W. Janke

• Record Nr.: UNISA996466704603316
• Pubbl/distr/stampa: Berlin, Germany ; ; New York, New York : , : Springer, , [2008]; ©2008
• ISBN: 3-540-74029-5
• Edizione: [1st ed. 2008.]
• Descrizione fisica: 1 online resource (X, 412 p.)
• Collana: Lecture Notes in Physics, , 0075-8450 ; ; 736
• Disciplina: 530.413
• Soggetti: Spin glasses - Mathematical models; Condensed matter - Mathematical models; Protein folding - Mathematical models
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Rugged Free-Energy Landscapes – An Introduction -- Rugged Free-Energy Landscapes – An Introduction -- Spin Glasses -- Some Aspects of Infinite-Range Models of Spin Glasses: Theory and Numerical Simulations -- The Potts Glass Model: A Scenario for the Freezing Transition of Structural Glasses? -- Domain Walls, Droplets and Barriers in Two-Dimensional Ising Spin Glasses -- Local Scale-Invariance in Disordered Systems -- Structural Glasses -- Transport of Mobile Particles in an Immobile Environment: Computer Simulations of Sodium Silicates -- The Gonihedric Ising Model and Glassiness -- Protein Folding -- Thermodynamics of Protein Folding from Coarse-Grained Models’ Perspectives -- Exact Energy Landscapes of Proteins Using a Coarse-Grained Model -- Protein Folding, Unfolding and Aggregation Studied Using an All-Atom Model with~a~Simplified Interaction Potential -- All-Atom Simulations of Proteins -- Algorithmic Developments -- Markov Chain Monte Carlo Methods for Simulations of Biomolecules -- A Different Approach to Monte Carlo Simulations in Systems with Complex Free-Energy Landscapes -- Generalized-Ensemble Algorithms for Protein Folding Simulations.
• Sommario/riassunto: This collection of lectures and tutorial reviews by renowned experts ; focusses on the common computational approaches in use to unravel the static and dynamical behaviour of complex physical systems at the interface of physics, chemistry and biology. Paradigmatic examples of condensed matter physics are spin and structural glasses and protein folding, as well as their aggregation and adsorption to hard and soft surfaces, in physico-chemical biology. Among the most prominent joint key features of the systems considered in this volume are rugged free-energy landscapes. These generate metastability and are often responsible for very slow dynamics allowing for the system to be trapped in one of the many available local minima. The challenge set forth by the authors of this volume is to provide a common basis and technical language for the (computational) technology transfer between the fields and systems considered.