Biomedical Information Technology
Inbunden, Engelska, 2007
1 649 kr
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 Biomedical Information Technology 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
Produktinformation
- Utgivningsdatum2007-10-05
- Mått216 x 276 x undefined mm
- Vikt1 440 g
- FormatInbunden
- SpråkEngelska
- SerieBiomedical Engineering
- Antal sidor552
- FörlagElsevier Science
- ISBN9780123735836
Tillhör följande kategorier
Professor David Dagan Feng is Founder and Director, Biomedical and Multimedia Information Technology (BMIT) Research Group, Funding Director, Institute of Biomedical Engineering & Technology (BMET), and Funding Head, School of Information Technology (recently renamed as School of Computer Science), the University of Sydney (USYD), as well as Academic Director, USYD-SJTU (Shanghai Jiao Tong University) Joint Research Alliance. He has been, Head of Department of Computer Science and Associate Dean, Faculty of Science, the University of Sydney; Honorary Research Consultant, Royal Prince Alfred Hospital, the largest hospital in Australia; Chair Professor of Information Technology, Hong Kong Polytechnic University; Scientific Advisor, the 3D Anatomical Human European Institute / Project involving 7 countries; Advisory Professor, Chief Scientist and Chair of the International Advisory Committee, Med-X Research Institute, Shanghai Jiao Tong University; Guest Professor for a number of universities, including Tsinghua University. He received his M.E. in Electrical Engineering & Computer Science (EECS) from Shanghai Jiao Tong University in 1982, M.Sc. in Biocybernetics and Ph.D. in Computer Science from the University of California, Los Angeles (UCLA) in 1985 and 1988, respectively, where he received the Crump Prize for Excellence in Medical Engineering. In conjunction with his team members and students, he has been responsible for more than 50 key research projects, published over 900 scholarly research papers, pioneered several new research directions, and made a number of landmark contributions in his field. He has served as Chair of the International Federation of Automatic Control (IFAC) Technical Committee on Biological and Medical Systems, Special Area Editor / Associate Editor / Editorial Board Member for a dozen of core journals in his area, and Scientific Advisor for a number of prestigious organizations. He has been invited to give over 100 keynote presentations in 23 countries and regions, and has organized / chaired over 100 major international conferences / symposia / workshops. Professor Feng is Fellow of ACS, HKIE, IET, IEEE, and Australian Academy of Technological Sciences and Engineering.
- Section I:Technological FundamentalsChapter 1Medical ImagingDr. Xiaofeng Zhang, Dr. Nadine Smith and Prof. Andrew Webb1.1Introduction1.2Digital radiography1.3Computed tomography1.4Nuclear medicine1.5Ultrasonic imaging1.6Magnetic resonance imaging1.7Diffuse optical imaging1.8Biosignals1.9Appendix1.10Exercises1.11Bibliography1.12IndexChapter 2Electronic Medical Record (EMR)Dr. Eugene,Y. S. Lim, Prof. Michael Fulham and Prof. David Dagan Feng2.1Introduction2.2Medical data and patient record2.3Terminology standards – vocabulary and a clinical coding system12.4Information exchange standards2.5Usability issues in EMR2.6User interface2.7Evaluation2.8EMR system – a case study: a web-based imaging electronic patient history2.9Summary2.10Exercise2.11Bibliography and references2.12IndexChapter 3Image Data Compression and StorageProf. Hong Ren Wu, Dr. Damian M. Tan, Dr. Tom Weidong Cai and Prof. David Dagan Feng 3.1Introduction3.2Picture compression3.3Compression in the dicom standard3.4Data compression for dynamic functional images3.5Summary3.6Exercises3.7References3.8IndexChapter 4Content-Based Medical Image RetrievalDr. Tom Weidong Cai, Dr. Jinman Kim and Prof. David Dagan Feng4.1Introduction4.2CBMIR by physical visual features4.3CBMIR by geometric spatial features4.4CBMIR by combination of semantic and visual features4.5CBMIR by physiological functional features4.6Summary4.7Exercises4.8Bibliography and references4.9IndexChapter 5Data Modeling and SimulationDr. Alessandra Bertoldo, Prof. Claudio Cobelli5.1Introduction5.2Compartmental models5.3Model identification5.4Model validation5.5Simulation5.6Case study5.7Quantification of medical images5.8Exercises5.9Bibliography and referencesChapter 6Techniques for Parametric ImagingProf. David Dagan Feng, Dr. Lingfeng Wen and Dr. Stefan Eberl6.1Introduction6.2Parametric image estimation methods6.3Noninvasive methods6.4Clinical applications of parametric images6.5Summary6.6Exercise6.7Bibliography and references6.8IndexChapter 7Data Processing and AnalysisProf. Chris Wyatt, Prof. Yu-Ping Wang, Prof. Matthew T. Freedman, Prof. Murray Loew and Prof. Yue Wang7.1Introduction7.2Medical image enhancement7.3Medical image segmentation7.4Medical image feature extraction7.5Medical image interpretation7.6Summary7.7Exercises7.8Bibliography7.9IndexChapter 8Data Registration and FusionDr. Xiu Ying Wang, Dr. Stefan Eberl, Prof. Michael Fulham, Dr. Seu Som and Prof. David Dagan Feng8.1Introduction8.2Fundamentals of biomedical image registration and fusion8.3Feature-based medical image registration8.4Intensity-based registration8.5Hybrid registration and hierarchical registration8.6Hardware registration8.7Assessment of registration accuracy8.8Applications of biomedical image registration and fusion8.9Summary8.10Exercises8.11Bibliography and references8.12IndexChapter 9Data Visualization and DisplayDr. Jinman Kim, Dr. Tom Weidong Cai, Prof. Michael Fulham, Dr. Stefan Eberl and Prof. David Dagan Feng9.1Introduction9.2Two-Dimensional (2D) visualization techniques9.3Three-Dimensional (3D) visualization techniques9.4Volume navigation interface9.5Volume enhancement and manipulation9.6Large data visualization and optimization9.7Dual-modality PET/CT visualization9.8Data display devices9.9Applications of biomedical visualization9.10Summary9.11Exercises9.12Bibliography and references9.13IndexChapter 10Data Communication and Network InfrastructueProf. Doan B. Hoang and Dr. Andrew J. Simmonds10.1Introduction10.2Transmission and communication technologies10.3The internet and World Wide Web10.4Wireless and mobile technologies in m-health10.5Sensor networks for health monitoring10.6Applications of wireless technologies in telemedicine10.7Summary10.8Exercises10.9Bibliography and references10.10IndexChapter 11Data Security and Protection for Medical ImagesDr. Eugene, Y. S. Lim 11.1Introduction11.2Overview of cryptographic system11.3Digital watermarking11.4Medical image watermarking11.5Region-based reversible watermarking for secure pet image management11.6Summary11.7 Exercise11.8 Bibliography11.8 IndexChapter 12Biological ComputingProf. Eric P Hoffman, Erica Reeves, Dr. Yetrib Hathout, Dr. Zuyi Wang and Josephine Chen12.1 Introduction12.2 Overview of genomic methods12.3 Overview of proteomic methods12.4 Bioinformatics and information infrastructure12.5 Data mining and large-scale biological databases12.6 Biological event-driven, time-driven and hybrid simulation techniques12.7 Summary12.8 BibliographySection II: Integrated ApplicationsChapter 13PACS and Medical Imaging Informatics (MII) for Filmless HospitalsProf. Brent J. Liu and Prof. H.K. Huang13.1 Introduction13.2 PACS infrastructure13.3 PACS components and workflow13.4 PACS controller and image archive13.5 Large-scale PACS implementation13.6 PACS clinical experiences13.7 Summary13.8 Exercises13.9 Bibliography and references13.9 IndexChapter 14 KMeX: A Knowledge-Based Digital Library for Retrieving Scenario-Specific Medical Text DocumentsProf. Wesley W. Chu, Dr. Zhenyu Liu, Dr. Wenlei Mao and Dr. Qinghua Zou14.1Introduction14.2Extracting key concepts from documents14.3Transforming similar queries into query templates14.4Topic-oriented directory14.5Phrase-based vector space model for automatic document retrieval14.6Knowledge-based scenario-specific query expansion14.7A system architecture for retrieving scenario-specific free text documents14.8Summary14.9Exercises14.10BibliographyChapter 15Integrated Multimedia Patient Record SystemsDr. Ruth E. Dayhoff, Mr. Peter M. Kuzmak and Mr. Kevin Meldrum15.1 Introduction15.2 Multimedia patient record15.3 Multimedia patient record system architecture components15.4 Electronic medical chart components15.5 Objects comprising the multimedia patient record15.6 Capturing multimedia data at the source15.7 DICOM image acquisition15.8 Remote data and image viewing across the healthcare network15.9 Impact on patient care15.10 Summary15.11 ReferencesChapter 16Computer-Aided Diagnosis (CAD)Prof. Maryellen L. Giger and Dr. Kenji Suzuki16.1 Introduction16.2 CAD16.3 CAD for cancer screening16.4 CAD for differential diagnosis16.5 Intelligent CAD workstations – indices of similarity and human/computer interfaces16.6 Summary16.7 Exercises16.8 Bibliography16.9 IndexChapter 17Clinical Decision Support Systems (CDSS)Dr. Peter Weller, Dr. Abdul Roudsari and Prof. Ewart Carson17.1 Introduction17.2 Overview of CDSS17.3 Human diagnostic reasoning17.4 A structure for characterising CDSS17.5 Decision support tools17.6 Decision support systems in the hospital and other healthcare settings17.7 Healthcare education applications17.8 Verification, validation and evaluation17.9 Summary17.10 Exercises17.11 References17.12 IndexChapter 18Medical Robotics and Computer-Integrated Interventional MedicineProf. Russell H. Taylor and Dr. Peter Kazanzides18.1Introduction18.2Technology & Techniques18.3Surgical CAD/CAM18.4Surgical Assistance18.5Summary and conclusion18.6Exercises18.7References18.8IndexChapter 19 Functional Techniques for Brain Magnetic Resonance ImagingDr. Sirong Chen, Dr. Kai-Ming Au Yeung and Dr. Gladys Goh Lo19.1Introduction19.2Diffusion-weighted MR imaging in brain19.3MR perfusion imaging in brain19.4Functional MRI (fMRI) using bold techniques19.5Clinical MR spectroscopy in brain19.6Summary19.7Exercises19.8Bibliography and references19.9IndexChapter 20 Molecular Imaging in CancerProf. Kristine Glunde, Dr. Catherine A. Foss and Prof. Zaver M. Bhujwalla 20.1Introduction20.2Imaging of gene expression20.3Receptor imaging20.4Enzyme-activated probes20.5Metabolic imaging20.6Imaging of permeability, perfusion, and blood flow20.7Imaging of the tumor microenvironment20.8Multimodality imaging20.9Conclusion20.10Exercises20.11References20.12IndexChapter 21Molecular Imaging in Biology and PharmacologyProf. Sung-Cheng Huang, Prof. Anna M. Wu and Prof. Jorge R. Barrio21.1 Introduction and background21.2 Considerations for quantitative molecular imaging21.3 Design/development of molecular imaging probes21.4 Molecular imaging of beta-amyloid and NFT21.5 Molecular imaging using antibody probes21.6 Some other molecular imaging applications21.7 Summary and future perspectives21.8 Exercises21.9 References21.10 IndexChapter 22From Telemedicine to Ubiquitous M-Health: the Evolution of E Health SystemsDr. Dejan Raškoviæ, Dr. Aleksandar Milenkoviæ, Prof. Piet C. De Groen andDr. Emil Jovanov22.1Introduction22.2Overview of m-health systems22.3M-health based on Wireless Body Area Networks (WBAN)22.4Wireless intelligent sensors for m-health22.5Wireless mobile devices for m-health22.6 Next-generation m-health systems22.7 Summary22.8 Exercises22.9 References22.10 IndexChapter 23Multimedia for Future Health – Smart Medical Home………………1Dr. Jinman Kim, Dr. Zhiyong Wang, Dr. Tom Weidong Cai and Prof. David Dagan Feng23.1 Introduction23.2 Multimedia for human-computer interaction23.3 Multimedia content management23.4 Multimedia delivery23.5 Smart medical home23.6 Telemedicine in the smart medical home23.7 Sensory devices and health monitoring23.8 Speech recognition and conversational systems23.9 Multimedia technologies for patient education and care23.10 Multimedia operating theater and Virtual Reality (VR)23.11 Summary23.12 Exercises23.13 References23.15 Index