074:150 Medical Imaging and Radiology Informatics, Sping 2011
Time & Place: If you are the University of Iowa students who register this course, you can login on Iowa Courses Online (ICON) (icon.uiowa.edu) using your hawkeye ID. You can access interactive lecture talks and relevant lecture materials. If you did not register this course or you are not UI students, you need to contact instructor, Dr. Jun Ni at jun-ni@uiowa.edu, to request the lecture talks and other course materials. Important links :: 074:150 Course Web Site (this) :: ICON (Iowa Course On Line) :: ISIS (registration) :: OSIRIS (Instructor Use only) :: :: Hawkeye Radiology Informatics: one of medical imaging informatics projects in Medical Imaging HPC & Informatics Lab :: :: Radiation Science Program :: Radiology :: College of Medicine :: University of Iowa :: Class Lecture Notes: Additional notes, handouts, and any assigned reading materials may be available online at ICON or through email. Course Description: This course addresses the issues in the informatics used in medical imaging and radiology. Through this course learning, students will learn the basic concepts, principles, terminology, and technology in medical imaging informatics, which includes PACS system's operation, design, and implementation, digitalization and acquisition of medical images, clinic use in radiological sciences, current research and development of technologies in radiological modalities, the state-of-the-art of medical image processing, and image compression, storage, achieving, retrieving, image data formation and conversion, image data communications and network, image process workflow, image data visualization and display, system integrations in health, hospital, radiological information systems, relationship between medical imaging informatics, and cutting edge technology in computer and information science, web application/services based telemedicine and teleradiology, image date consistency and fault-tolerance in PACS, system and data security, clinic implementation and experience, data mining and decision making systems, education and training systems, enterprise systems in medical and health sciences. The course is designed for medical clinic and research fellows, residents, students in informatics, pre-medical students, and professionals in health and hospital sciences. Pre-requisites: None Time & Registration: contact Dr. Jun Ni at jun-ni@uiowa.edu Instructor: Dr Jun Ni, PhD, Associate Professor Department of Radiology, Carver College of Medicine Department of Biomedical Engineering; Department of Mechanical & Industrial Engineering, College of Engineering Department of Computer Science, College of Liberal Arts The University of Iowa, Iowa City, IA, USA Tel: (319) 335-9490; Skype: juni58 E-mail: jun-ni@uiowaedu Place: Online (UI-ICON and Course Web site) Course Contents and Notes: Part I: Fundamental Medical Imaging Informatics I. Information Science and Information Technology 1.1 Introduction 1.1 Computer Science 1.2 Computer Technology 1.3 Information Technology 1.4 Information Science II. Digital Biomedicine/Medicine and and Healthcare Information Technology 2.1 Introduction to Biomedicine and Medicine 2.2 Digitalization in Biomedicine and Medicine 2.3 Healthcare Information Technology (HIT) III. Informatics 3.1 Basic of Informatics 3.2 Biomedical/Medical Informatics IV. Ontological Description in Medical Imaging Informatics 4.1 Medical Information Expression, Processing, and Representation 4.2 Ontological Data Entity Classification and Abstraction 4.3 Ontological Domain Mapping, Modeling, and Data Structure 4.4 Ontological Description of Terminology in Medical Imaging Informatics V. Medical Image Data 5.1 Medical Image, Image Qaulity, and Data Formats 5.2 Medical Imaging Modalities 5.3 Medical Image Digitalization and Aquisition Gateway VI. Workflow in Radiology 6.1 Genetic Workflow in Radiology and PACS Workflow 6.2 Integrating the HealthCare Enterprise Workflow Model 6.3 Key Steps Radiology Workflow and Its Analysis VII. Integration, Standards and Interoperability 7.1 Integration Challenges and General IT Standards 7.2 IT Standards Imaging and Internet Standards 7.3 DICOM Standards 7.3 HL7 Standards 7.4 Interoperability and IHE standards VIII. Basic Medical Image Processing and Analysis 8.1 Quality Evaluation 8.2 Statistical Analysis and Information Entropy 8.3 Coding and Decoding 8.4 Stable and Unstable Signal Processing 8.5 Transformations IX. Pre-Medical Image Processing 9.1 Image Reconstruction 9.3 Background Removal 9.4 Noise Removal 9.5 Image Compression X. Post-Medical Image Processing 10.1 Filtering 10.2 Contraction and Enhancement 10.3 Registration 10.4 Classification, Texturing, and Segregation XI. Medical Image Displaying, Visualization, and Representation 11.1 Image Displaying 11.2 Display Workstations and Other Tools 11.3 2D and 3D Displaying Algorithms 11.4 3D Volume Rendering and Ray-Tracing 11.5 Virtual Reality Technology XIII. Medical Image Distribution, Networks and Communications 12.1 Network Architecture Topology and Protocols 12.2 Network Structure and System Components 12.3 Medical Image Data Transfers 12.4 Internet Services 12.5 Web Applications, Web Services, and Client/Server Distributed Computing 12.6 Enterprise Computing for Medical Imaging Informatics XIIII: Open Architectures in Medical Imaging Informatics 13.1 Enterprise Radiology Information System Architecture (eRIS) 13.2 Enterprise Health Care Information System (eHIS) 13.3 PACS Generic Architecture 13.4 PACS Strategic Planning 13.5 Internet-based, Large-scale PACS System 13.6 Open Architecture Layers of Medical Image Informatics System 13.7 Medical Image Workflow and MII-Open System Architecture 13.8 Open Enterprise Radiology Information System Architecture (OeRIS) 13.9 PACS-RIS-HIS Relationships 13.10 Global RIS, Teleradigraphy, and Lagre-scale Healthcare Information System XIV: Multi-dimensions Image Representations and Multi-scale Modeling in MII 14.1 Static 2D and 3D Temporal-Spatial Image Representations 14.2 Dynamic 2D and 3D Temporal-Spatial Image Representations 14.3 High-dimensional Image Representations 14.4 Multi-scale Medical Imaging Informatics Architectures in future Healthcare Systems Part II Knowledge Management, Data and Text Mining, and Decision-Making Mechanisms in Medical Imaging Informatics XV. Basic Knowledge Management, Data Mining, and Text Mining 15.1 Basic Knowledge Mapping, Database and Management 15.2 Data Mining, Machine Learning, and Data Analysis Paradigms 15.3 Image Mining 15.4 Text Mining XVI. Ontological Concepts and Entity Relationships for Knowledge Creation and Discovery 16.1 Ontological Modeling 16.2 Medical Image Indexing and Vocabulary Systems 16.3 Medical Image Integrating Documents Structure 16.4 Unified Medical Language Systems 16.5 Medical Imaging Knowledge Creations, Linkages, and Discoveries to Medical Domains (Anatomy, Surgery, Neurology, etc.) 16.6 Semantic Interoperability and Knowledge Exchanges XVII. Image Data Mining and Text Mining in Medical Imaging Informatics 17.1 Medical Image Database Systems 17.2 Medical Image Search Algorithms 17.3 Medical Image Mapping Algorithms 17.4 Medical Image Sorting Algorithms XVIII. Advanced Medical Image Data Mining Algorithms and Solutions in Medical Imaging Informatics 18.1 Medical Image Data Mining Algorithms 18.2 Entropy in Medical Image Expressions 18.3 Statistical Approaches (Statistical Chains) 18.4 Image Data Mining Tools XIX. Intelligent-knowledge based Decision-Making Mechanisms in Healthcare Information Systems             19.1 Decision Making Paradigm             19.2 Artificial Intelligence Application in Medical Imaging Informatics             19.3 Automata Computer-Aided Detection Systems for Cancer Diagnostics             19.4 Computer-Aided Planning for Cancer Treatments             19.5 Anatomic Knowledge and Medical Image Guided Medical Therapies XX: Computational Medical Imaging Informatics 20.1 Parallel Computing Systems, Parallel Computing Architectures, Interconnection, and Message Passing 20.2 Parallel Algorithms for Medical Imaging 20.3 Technical Implementation on High Performance Computer 20.4 Multi-core Programming for Medical Imaging 20.5 Parallel Computing in Medical Image Data Management, Data Mining, and Knowledge-based Diagnostic and Treatment Systems  Part III: Practical and Clinical Medical Imaging Informatics XXI. Enterprise Diagnostic Medical Imaging Modalities 21.1 X-ray Scanner 21.2 CT Scanner 21.3 MIR 21.4 NM 21.5 Ultrasounds XXII. Computer Solutions for Radiology Information Systems 22.1 Computer Systems (Workstations and Servers) 22.2 Open and Commercial Software for RIS 22.3 Medical Image Data Communications and Networking 22.4 Medical Image Database Management Systems Solutions and Developments 22.5 Network Security XXIII. Workflow in Radiology 23.1 Patient Visit Process 23.2 Generic RIS Workflow Models 23.2 Image Data Workflow and Professional Workflow 23.4 Integration of RIS Workflow into HIS-based Hospital Process XXIV. PACS Systems 24.1 Fundamental PACS Architecture and Designs 24.2 Self-owned and Enterprise PACS Systems 24.3 PACS Administration and Workforce 24.4 PACS facilitated Core Workflow in Today’s RIS and HIS 24.5 Installation and Integration of Modalities with PACS and RIS XXV. Standards and Interoperability 25.1 Information Technology Standards and Protocols 25.2 Digital Imaging and Communications in Medicine (DICOM) 25.3 Health Level 7 for HIS Interoperability XXVI. Practical Issues in Medical Imaging Displaying 26.1 Computer Systems for Medical Imaging Displaying 26.2 Graphic Representation for 2D and 3D Image Visualization 26.3 Human Perceptions 26.3 Human–Computer Interactions XXVII. Medical Imaging Distributed Environment 27.1 Distributed Computing 27.2 Infrastructure of Client/Server-based PACS and RIS 27.3 Networking and Workflow Considerations XXVIII. Network Security in HIS and Patient Confidentiality 28.1 Network Security Implementations 28.2 Patient Confidentiality Protection 28.3 Safety Issues for Medical Data Storage XXIX. Documentation, Reporting, Voice Recording and Recognition 29.1 Radiology Report Documentation 29.2 Interoperability of Pathology and Radiology Informatics 29.3 Reporting Models 29.4 Voice Recording and Recognition XXX. Medical Imaging Informatics Systems Evaluation and Quality Assurance 30.1 PACS Evaluation 30.2 Workflow Efficiency 30.3 Evaluations of Data Storage, Disaster discovery, Data Flow Fault-Tolerance, Networking Latency, and Interoperability 30.4 RIS Assessment 30.5 HIS Integration Report and Decision-Making Assurance 30.6 Quality Assurance for Medical Imaging XXXI. Training in Medical Imaging Informatics 31.1 Inpatient Workflow Information and Guidance 31.2 Outpatient Radiological/Diagnostics Information Systems 31.3 PACS Professionals Development 31.4 Information Technology Development Team Training in Clinic Knowledge and Healthcare Workflow 31.5 Information Technology Training for Radiologists and Technologists XXXII. Business Model and Policy Making 32.1 Healthcare Business Model, Billing, and Coding 32.2 Healthcare System Policy and Services Procedures 32.3 Policy Management and Regulatory Compliance Reference Textbooks: Medical Imaging Informatics, Bui, Alex AT; Taira, Ricky K (Eds)st Edition, , Springer; ISBN: ISBN 978-1-4419-0384-6 e-ISB N 978-1-4419-0385-3 This textbook provides an overview of this growing discipline, which stems from an intersection of biomedical informatics, medical imaging, computer science and medicine Supporting two complementary views, this volume explores the fundamental technologies and algorithms that comprise this field, as well as the application of medical imaging informatics to subsequently improve healthcare research Clearly written in a four part structure, this introduction follows natural healthcare processes, illustrating the roles of data collection and standardization, context extraction and modeling, and medical decision making tools and applications. SIIM: Practical Imaging Informatics – Foundations and Applications for PACS Professionals, edited by Barton F. Branstetter IV et al., First Edition, 2009, Springer, ISBN: 978-1-4419-0483-6 This book comes to play an indispensable role in trainging professional Imaging Informatics Professionals (IIP)who are working in modern medicine. The scope of this book has grown far beyond the boundaries of the PACS professionals. A successful IIP must not only understand the PACS itself, but also have knowledge of clinical workflow, a base in several medical specialties, and a solid IT capability regarding software interactions and networking. Teh book has been considered as a single education source needed to explain the fundamentals of imaging informatics and to demonstrate how those fundamentals are applied in everyday practice. The book describes the foundations of information technology and clinical image management, details typical daily operations, and discusses rarer complications and issues. Written by world-renown experts from the Society for Imaging Informatics in Medicine (SIIM), this book is an indispensable reference for the practicing IIP, those studying for a certification exam, and any professional who needs quick access to the nuts and bolts of imaging informatics.
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Hawkeye Radiology Informatics (HRI), Medical Imaging HPC & Informatics Lab
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