LEADER 05560nam 2200709Ia 450 001 9910677012803321 005 20230124183432.0 010 $a1-282-16503-8 010 $a9786612165030 010 $a0-470-61115-4 010 $a0-470-39378-5 035 $a(CKB)2550000000005845 035 $a(EBL)477633 035 $a(SSID)ssj0000336052 035 $a(PQKBManifestationID)11245437 035 $a(PQKBTitleCode)TC0000336052 035 $a(PQKBWorkID)10278110 035 $a(PQKB)10429224 035 $a(MiAaPQ)EBC477633 035 $a(CaSebORM)9781848210288 035 $a(OCoLC)521032543 035 $a(EXLCZ)992550000000005845 100 $a20080122d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCompression of biomedical images and signals$b[electronic resource] /$fedited by Amine Nait-Ali, Christine Cavaro-Menard 205 $a1st edition 210 $aLondon $cISTE ;$aHoboken, NJ $cJohn Wiley & Sons$d2008 215 $a1 online resource (330 p.) 225 1 $aISTE ;$vv.31 300 $aIncludes bibliographical references and index. 311 $a1-84821-028-0 320 $aIncludes bibliographical references and index. 327 $aCompression 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 327 $a1.6.1. 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 327 $a2.3.2.1. 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 327 $aChapter 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 327 $a3.3.1.2. 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 327 $a4.2.2.2. Technical committee 215 of the ISO 330 $aDuring the last decade, image and signal compression for storage and transmission purpose has seen a great expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made in imaging systems, storing systems and telemedicine makes compression in this field particularly interesting. However, this compression has to be adapted to the specificities of biomedical data which contain diagnosis information.As such, this book offers an overview of compression techniques applied to medical data, i 410 0$aISTE 606 $aDiagnosis$xData processing 606 $aData compression (Computer science) 606 $aMedical informatics 615 0$aDiagnosis$xData processing. 615 0$aData compression (Computer science) 615 0$aMedical informatics. 676 $a616.07/50285 676 $a616.0750285 700 $aNaït-Ali$b Amine$0951596 701 $aNai?t-Ali$b Amine$0951596 701 $aCavaro-Me?nard$b Christine$01339752 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910677012803321 996 $aCompression of biomedical images and signals$93061100 997 $aUNINA