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Radiography, Medical --- -Radiography, Medical --- -Image quality --- Mathematics
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This volume contains the proceedings of the thirteenth biennial International Conference on Information Processing in Medical Imaging (IPMI XIII), held on the campus of Northern Arizona University in Flagstaff, Arizona, in June 1993. This conference was the latest in a series of meetings where new developments in the acquisition, analysis and utilization of medical images are presented, discussed, dissected, and extended. Today IPMI is widely recognized as a preeminent international forum for presentation of cutting-edge research in medical imaging and imageanalysis. The volume contains the text of the papers presented orally atIPMI XIII. Over 100 manuscripts were submitted and critically reviewed, of which 35 were selected for presentation. In this volume they are arranged into nine categories: shape description with deformable models, abstractshape description, knowledge-based systems, neural networks, novel imaging methods, tomographic reconstruction, image sequences, statistical pattern recognition, and image quality.
Information systems --- Physical methods for diagnosis --- Tomografie [Schatten van emissie ] --- Tomographie [Emission estimée ] --- Tomography [Emission-Computed ] --- Diagnostic imaging --- Data processing --- Congresses --- Image processing --- Image interpretation [Computer assisted ] --- Image processing [Computer assisted ] --- Magnetic resonance imaging --- Computer vision. --- Artificial intelligence. --- Biology --- Image Processing and Computer Vision. --- Artificial Intelligence. --- Computer Appl. in Life Sciences. --- Data processing. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems
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Human biochemistry --- Oncology. Neoplasms --- Human genetics --- Pathology of the circulatory system --- medische biochemie --- medische genetica --- biochemie --- genetica --- oncologie --- cardiologie
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Small-Animal SPECT Imaging offers a comprehensive overview of the cutting edge imaging tool that can aid in drug development, drug research, molecular imaging, and imaging science. It represents contributions of the world's leading researchers in small-animal SPECT imaging, providing coverage from the basic physics of SPECT imaging to animal studies. Important integrated sections on animal handling, image quality assessment, and reconstruction algorithms are included, allowing its audience to design and run their own studies. Key Features: Scintillation and semiconductor detector technologies Digital signal processing techniques System modeling and reconstruction algorithms Animal monitoring and handling, including anesthesia issues Applications of small-animal imaging Detailed sections on animal handling, image assessment, and reconstruction algorithms -allow readers to implement their own tailored studies Small-Animal SPECT Imaging is aimed at researchers performing imaging to study the effects of drugs, molecular agents, and treatments, including molecular imaging scientists, imaging scientists; nuclear medicine researchers, and all those interested in the application of SPECT systems in the areas of cancer research, cardiovascular research, and gene therapy About the Editors: Matthew A. Kupinski is an Assistant Professor of Optical Sciences and Radiology at the University of Arizona. He earned his Ph.D. from the University of Chicago in 2000 and joined the faculty at the University of Arizona in 2002. Harrison H. Barrett is a Regents Professor of Radiology and Optical Sciences at the University of Arizona in Tucson, Arizona. Professor Barrett joined the University of Arizona in 1974, is the former editor of the Journal of the Optical Society of America A, and is the recipient of the IEEE Medical Imaging Scientist Award in 2000. He is the coauthor of two books on image science.
Human biochemistry --- Oncology. Neoplasms --- Human genetics --- Pathology of the circulatory system --- medische biochemie --- medische genetica --- biochemie --- genetica --- oncologie --- cardiologie
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Small-Animal SPECT Imaging offers a comprehensive overview of the cutting edge imaging tool that can aid in drug development, drug research, molecular imaging, and imaging science. It represents contributions of the world's leading researchers in small-animal SPECT imaging, providing coverage from the basic physics of SPECT imaging to animal studies. Important integrated sections on animal handling, image quality assessment, and reconstruction algorithms are included, allowing its audience to design and run their own studies. Key Features: Scintillation and semiconductor detector technologies Digital signal processing techniques System modeling and reconstruction algorithms Animal monitoring and handling, including anesthesia issues Applications of small-animal imaging Detailed sections on animal handling, image assessment, and reconstruction algorithms -allow readers to implement their own tailored studies Small-Animal SPECT Imaging is aimed at researchers performing imaging to study the effects of drugs, molecular agents, and treatments, including molecular imaging scientists, imaging scientists; nuclear medicine researchers, and all those interested in the application of SPECT systems in the areas of cancer research, cardiovascular research, and gene therapy About the Editors: Matthew A. Kupinski is an Assistant Professor of Optical Sciences and Radiology at the University of Arizona. He earned his Ph.D. from the University of Chicago in 2000 and joined the faculty at the University of Arizona in 2002. Harrison H. Barrett is a Regents Professor of Radiology and Optical Sciences at the University of Arizona in Tucson, Arizona. Professor Barrett joined the University of Arizona in 1974, is the former editor of the Journal of the Optical Society of America A, and is the recipient of the IEEE Medical Imaging Scientist Award in 2000. He is the coauthor of two books on image science.
Animal models in research --- Imaging systems in medicine --- Imaging systems in biology --- Tomography, Emission --- Animal experimentation --- Biological models --- Laboratory animals --- Research --- Biomedical engineering. --- Medicine. --- Oncology. --- Cardiology. --- Human genetics. --- Biomedical Engineering and Bioengineering. --- Biomedicine general. --- Cancer Research. --- Human Genetics. --- Genetics --- Heredity, Human --- Human biology --- Physical anthropology --- Heart --- Internal medicine --- Tumors --- Clinical sciences --- Medical profession --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Diseases --- Cancer research. --- Biomedicine, general. --- Health Workforce --- Cancer research
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