Biomedical information technology
Biomedical information technology [E-Book]
- Amsterdam ; Boston : Academic Press, 2008.
- 1 online resource (xxi, 525 pages) : illustrations (some color)
- Academic Press series in biomedical engineering .
- Academic Press series in biomedical engineering. .
Includes bibliographical references and index.
Front 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 2.3 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 3.7 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 5.4 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 7.7 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
The 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, processing, registration, visualization, communication, and large-scale biological computing. In addition the book contains practical integrated clinical applications for disease detection, diagnosis, surgery, therapy, and biomedical knowledge discovery, including the latest advances in the field, such as ubiquitous M-Health systems and molecular imaging applications. *The world's most recognized authorities give their "best practices" ready for implementation *Provides professionals with the most up to date and mission critical tools to evaluate the latest advances in the field and current integrated clinical applications *Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applications
English.
9780080550725 008055072X 9780123735836 0123735831 1281056936 9781281056931 9786611056933 6611056939
134522:134653 Elsevier Science & Technology http://www.sciencedirect.com
Medical informatics.
Biotechnology--Data processing.
Biomedical engineering.
Medical Informatics
Biomedical Technology
W 26.5 / B6154 2008
Includes bibliographical references and index.
Front 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 2.3 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 3.7 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 5.4 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 7.7 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
The 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, processing, registration, visualization, communication, and large-scale biological computing. In addition the book contains practical integrated clinical applications for disease detection, diagnosis, surgery, therapy, and biomedical knowledge discovery, including the latest advances in the field, such as ubiquitous M-Health systems and molecular imaging applications. *The world's most recognized authorities give their "best practices" ready for implementation *Provides professionals with the most up to date and mission critical tools to evaluate the latest advances in the field and current integrated clinical applications *Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applications
English.
9780080550725 008055072X 9780123735836 0123735831 1281056936 9781281056931 9786611056933 6611056939
134522:134653 Elsevier Science & Technology http://www.sciencedirect.com
Medical informatics.
Biotechnology--Data processing.
Biomedical engineering.
Medical Informatics
Biomedical Technology
W 26.5 / B6154 2008