LEADER 05347nam 22006494a 450 001 9910458653403321 005 20210428222913.0 010 $a1-281-05693-6 010 $a9786611056933 010 $a0-08-055072-X 035 $a(CKB)1000000000364036 035 $a(EBL)311308 035 $a(OCoLC)437189172 035 $a(SSID)ssj0000112175 035 $a(PQKBManifestationID)11124763 035 $a(PQKBTitleCode)TC0000112175 035 $a(PQKBWorkID)10086911 035 $a(PQKB)10390766 035 $a(MiAaPQ)EBC311308 035 $a(Au-PeEL)EBL311308 035 $a(CaPaEBR)ebr10190049 035 $a(CaONFJC)MIL105693 035 $a(EXLCZ)991000000000364036 100 $a20070823d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBiomedical information technology$b[electronic resource] /$fedited by David Dagan Feng 210 $aAmsterdam ;$aBoston $cAcademic Press$d2008 215 $a1 online resource (593 p.) 225 1 $aBiomedical Engineering 300 $aDescription based upon print version of record. 311 $a0-12-373583-1 320 $aIncludes bibliographical references. 327 $aFront Cover; Biomedical Information Technology; Copyright Page; Contents; Acknowledgments; About the Editor; Contributors; Introduction; Section I: Technological Fundamentals; Chapter 1: Medical Imaging; 1.1 Introduction; 1.2 Digital Radiography; 1.3 Computed Tomography; 1.4 Nuclear Medicine; 1.5 Ultrasonic Imaging; 1.6 Magnetic Resonance Imaging; 1.7 Diffuse Optical Imaging; 1.8 Biosignals; 1.9 Appendix; 1.10 Exercises; 1.11 References and Bibliography; Chapter 2: Electronic Medical Records; 2.1 Introduction; 2.2 Medical Data and Patient Records 327 $a2.3 Terminology Standards-Vocabulary and a Clinical Coding System2.4 Information Exchange Standards; 2.5 Usability Issues in Electronic Medical Records; 2.6 User Interface; 2.7 Evaluation; 2.8 Electronic Medical Records System-A Case Study: AWeb-Based Electronic Record for Medical Imaging; 2.9 Summary; Acknowledgements; 2.10 Exercises; 2.11 References and Bibliography; Chapter 3: Image Data Compression and Storage; 3.1 Introduction; 3.2 Picture Compression; 3.3 Compression in the DICOM Standard; 3.4 Data Compression for Dynamic Functional Images; 3.5 Summary; Acknowledgements; 3.6 Exercises 327 $a3.7 References and BibliographyChapter 4: Content-Based Medical Image Retrieval; 4.1 Introduction; 4.2 Content-Based Medical Image Retrieval by Physical Visual Features; 4.3 Content-Based Medical Image Retrieval by Geometric Spatial Filters; 4.4 Content-Based Medical Image Retrieval by Combination of Semantic and Visual Features; 4.5 Content-Based Medical Image Retrieval by Physiologically Functional Features; 4.6 Summary; Acknowledgments; 4.7 Exercises; 4.8 References and Bibliography; Chapter 5: Data Modeling and Simulation; 5.1 Introduction; 5.2 Compartment Models; 5.3 Model Identification 327 $a5.4 Model Validation5.5 Simulation; 5.6 Case Study; 5.7 Quantification of Medical Images; 5.8 Exercises; 5.9 References and Bibliography; Chapter 6: Techniques for Parametric Imaging; 6.1 Introduction; 6.2 Parametric Image Estimation Methods; 6.3 Noninvasive Methods; 6.4 Clinical Applications of Parametric Images; 6.5 Summary; Acknowledgments; 6.6 Exercises; 6.7 References and Bibliography; Chapter 7: Data Processing and Analysis; 7.1 Introduction; 7.2 Medical Image Enhancement; 7.3 Medical Image Segmentation; 7.4 Medical Image Feature Extraction; 7.5 Medical Image Interpretation; 7.6 Summary 327 $a7.7 Exercises7.8 References and Bibliography; Chapter 8: Data Registration and Fusion; 8.1 Introduction; 8.2 Fundamentals of Biomedical Image Registration and Fusion; 8.3 Feature-Based Medical Image Registration; 8.4 Intensity-Based Registration; 8.5 Hybrid Registration and Hierarchical Registration; 8.6 Hardware Registration; 8.7 Assessment of Registration Accuracy; 8.8 Applications of Biomedical Image Registration and Fusion; 8.9 Summary; Acknowledgments; 8.10 Exercises; 8.11 References and Bibliography; Chapter 9: Data Visualization and Display; 9.1 Introduction 327 $a9.2 Two-Dimensional Visualization Techniques 330 $aThe enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and organization of data. The field continues to evolve with the development of new applications to fit the needs of the biomedicine. From molecular imaging to healthcare knowledge management, the storage, access and analysis of data contributes significantly to biomedical research and practice. All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modelling, proces 606 $aMedical informatics 606 $aBiotechnology$xData processing 608 $aElectronic books. 615 0$aMedical informatics. 615 0$aBiotechnology$xData processing. 676 $a610.285 701 $aFeng$b David Dagan$0602880 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458653403321 996 $aBiomedical information technology$91014104 997 $aUNINA