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. In it, the world's most recognized authorities give their 'best practices' ready for implementation. The book 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. It gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applications. Table of ContentsChapter 1 Introduction David Feng 1.1 Background 1.2 Current IT Applications in Hospital Environment (HIS, RIS, PACS, EPR, etc.) 1.3 Major Activities for IT in Biomedicine and Chapter 2 Basic Anatomy, Biochemistry and Physiology Michael Fulham, et al. (University of Sydney) 2.1 Human Cellular Organization 2.2 Four Primary Types of Tissues 2.3 Major Organ Systems 2.4 Human Feedback Mechanisms and Homeostasis Chapter 3 Medical and Medical Imaging Data Acquisition Stefan Eberl, Roger Fulton, et al 3.1 Types of Medical Data (including bio-signal ECG, EEG, and other bio-test data, and then introduce medical imaging) 3.2 Digital Radiography 3.3 Computed Tomography (CT) 3.4 Digital Mammography 3.5 Magnetic Resonance Imaging (MRI) 3.6 Ultrasound Imaging 3.7 Nuclear Medicine Imaging (PET & SPECT) 3.8 Microscopic Imaging 3.9 Other Data Acquisition Systems 3.10 Motion Correction in Medical Image Acquisition Section I Fundamental - Information Technologies for Biomedicine Chapter 4 Image Data Compression and Storage Weidong Cai (University of Sydney) and David Feng 4.1 Healthcare Industry Data and Image Standards 4.2 The Health Level 7 (HL7) Standard 4.3 The DICOM Standard 4.4 Medical Image Compression Models 4.5 Error-Free Data Compression 4.6 Diagnostically Lossless Data Compression Chapter 5 Data Management and Retrieval Jinman Kim, Weidong Cai and David Feng 5.1 Medical Information Retrieval 5.2 The Need for Content-based Medical Image Retrieval (CBMIR) 5.3 Major Techniques used in CBMIR 5.4 VOI-based Image Retrieval of Multi-dimensional Medical Data 5.5 Potential Clinical Benefits and Future Research of CBMIR Chapter 6 Data Modeling and Simulation David Feng, et. al. 6.1 Modeling Biosystems 6.2 Linear Models of Biological Systems 6.3 Modeling Dynamic Systems 6.4 Kinetic Modeling and Quantification with PET 6.5 Computer Simulation Techniques and Phantoms Chapter 7 Data Processing and Analysis Yue Wang or James S. Duncan 7.1 Medical Image Enhancement 7.2 Medical Image Segmentation 7.3 Medical Feature Extraction 7.4 Medical Image Interpretation Chapter 8 Data Registration and Fusion Xiuying Wang(University of Sydney)and David Feng 8.1 Introduction 8.2 Biomedical Registration Transformations 8.3 Intensity-based Medical Image Registration 8.4 Feature-based Medical Image Registration 8.5 Biomedical Image Registration for Different Organs Chapter 9 Data Visualization and Display Arie E. Kaufman (SUNY Stony Brook) 9.1 Introduction 9.2 Illustrative Visualization 9.3 Investigative Visualization 9.4 Imitative Visualization 9.5 Volume visualization in Medicine Chapter 10 Data Communication and Transmission Y. S. Lim (University of Sydney) and David Feng 10.1 Background in Communications and Networking 10.2 World Wide Web and Medicine 10.3 Wireless Information Networks 10.4 Emergency Communications and Remote Monitoring Chapter 11 Data Security and Protection Y. S. Lim (Korea) and David Feng 11.1 Ethics and Privacy of Digital Medical Images in Networked Environment 11.2 HIPAA Data Security Standards 11.3 Security Monitoring Mediator for Network Security 11.4 Medical Image Content Security with Watermarking Chapter 12 Biological Computing Bryan Bergeron (Harvard Medical/ MIT) or H.C. Peng and F. H. Long (Rutgers) 12.1 Overview of Bioinformatics 12.2 Bioinformatics Information Infrastructure 12.3 Data Mining and Large-Scale Biological Databases 12.4 Gene Prediction and Advanced Pattern Matching Techniques 12.5 Biological Event-driven, Time-driven and Hybrid Simulation Techniques Section II Integrated Clinical Applications Chapter 13 PACS and Medical Imaging Informatics (MII) for Filmless Hospitals H. K. Huang (UC San Francisco, Director of the Laboratory for Radiological Informatics) 13.1 PACS Infrastructure 13.2 PACS Components 13.3 PACS Controller and Image Archive 13.4 Large-Scale PACS Implementation 13.5 PACS Clinical Experience Chapter 14 Medical Digital Library (MDL) for Paperless Hospitals Wesley W. Chu (UCLA) 14.1 Introduction 14.2 Retrieving Scenario-specific Medical Text Documents 14.3 Topic-Oriented Directory Hierarchy 14.4 Knowledge-based Query Expansion 14.5 IndexFinder: A Knowledge-based Method for Indexing Clinical Texts Chapter 15 Electronic Medical Record (EMR) Y. S. Lim (Korea), Michael Fulham (University of Sydney), David Feng 15.1 Overview of EMR 15.2 Electronic Patient History (EPH) 15.3 Multimedia-Enhanced EMR 15.4 Mobile Real-Time Updating System Chapter 16 Computer-Aided Diagnosis (CAD) Maryellen L. Giger (Univ. of Chicago) or Kunio Doi (Univ. of Chicago) 16.1 Introduction 16.2 CAD for Breast, Chest, Colon, Skeletal, Liver, Brain and Vascular Imaging 16.3 CAD for Cancer Screening 16.4 CAD for Differential Diagnosis 16.5 Medical Image Databases for CAD 16.6 Intelligent CAD Workstations and Decision Support Systems 16.7 Observer Performance Studies and ROC Analysis Chapter 17 Clinical Decision Support Systems (CDSS) Ewart Carson - as a worlds top authority in the area (City Univ. London) 17.1 Overview of CDSS 17.2 Human Diagnostic Reasoning 17.3 A Structure for Characterizing CDSS 17.4 Construction of Decision-Support Tools 17.5 Hospital-Based Decision Support 17.6 Medical Education Applications 17.7 Ethical and Legal Issues in Decision Support Chapter 18 Computer-Integrated Surgery (CIS) Russell H. Taylor (Johns Hopkins University) 18.1 Image Guided Therapy 18.2 Surgical Robotics and Instrumentation 18.3 Surgical Navigation 18.4 3D Modeling and Rapid Prototyping 18.5 Postoperative Result Assessment 18.6 Surgical Education and Training 18.7 Haptics and Multimodal Devices in Medical Applications Chapter 19 Clinical and Healthcare Knowledge Management Rajeev Bali (BIOCORE, Coventry University, UK) 19.1 From Data to Knowledge: A Method for Modeling Hospital Logistic Processes 19.2 Clinical Knowledge Management using Computerized Patient Record Systems 19.3 A Technological Model to Define Access to Electronic Clinical Records 19.4 Semantics-based Information Modeling for the Health-care Administration Sector 19.5 An XML Model that Enables the Development of Complex Order Sets by Clinical Experts 19.6 Versatile Clinical Information System Design for Emergency Departments 19.7 Comparing Knowledge Management in Health-care and Technical Support Organizations Chapter 20 Molecular Imaging King C. P. Li (NIH) 20.1 Emerging Molecular Imaging for the Understanding of Molecular Processes of Disease Formation 20.2 Positron Emission Tomography in Molecular Imaging 20.3 PET-based Reporter Gene Imaging 20.4 Molecular Imaging with SPECT 20.5 Near Infrared Optical Applications in Molecular Imaging 20.6 Targeted Imaging using Ultrasound Contrast Agents 20.7 Molecular Imaging and Therapy Directed at the Neovasculature in Pathologies Chapter 21 Molecular Imaging in Biology and Pharmacology S. C. Huang (UCLA) 21.1 Molecular Imaging in Drug Discovery and Development 21.2 Cancer Imaging and Biological Characterization with Molecular Imaging 21.3 Molecular Probe Design with Molecular Imaging 21.4 Targeted Optical Imaging and Photodynamic Therapy 21.5 Imaging of Proteases for Tumor Detection and Differentiation 21.6 Pharmacokinetics and Pharmacodynamics with Molecular Imaging Chapter 22 From Telemedicine to Ubiquitous M-Health: the Evolution of E-Health Systems Emil Jovanov (University of Alabama) 22.1 Introduction to M-Health Systems 22.2 M-Health based on Wireless Body Area Networks (WBAN) 22.3 Wireless Intelligent Sensors for M-Health 22.4 Wireless Mobile Devices for M-Health 22.5 Next-Generation M-Health Systems Chapter 23 Multimedia for Future Health Smart Medical Home Alex Pentland (MIT) 23.1 Introduction 23.2 Automated Health Assessment 23.3 Molecular Monitoring and Smart Bandage Technology 23.4 Personal Medical Advisor System 23.5 Personal Medical Records Initiative for Consumer-Physician Decision Support 23.6 MiLAN: Middleware Linking Applications and Networks for Health Systems |