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Die Zahl der in der Medizin eingesetzten bildgebenden Verfahren steigt ständig; die Anzahl der zu beurteilenden Bilder nimmt rapide zu und muss daher mit digitaler Bildverarbeitung unterstützt werden. Dennoch ist diese - selbst in universitären Kliniken - bislang nicht hinreichend in die medizinische Routine integriert. Thomas M. Lehmann formuliert erstmalig eine Integrationsmethodik sowie detaillierte Integrationskriterien zur nahtlosen Einbindung computerunterstützter Verfahren und Algorithmen in die klinische Routineanwendung. Folgende Themen stehen im Mittelpunkt: " Grundlagen der praxisorientierten Bildverarbeitung " Flexibilität, Adaptivität und Stabilität von Software " Kontrollmöglichkeiten für Anwender " Validierung von Bildverarbeitung und -analyse " Daten-, Funktions-, Präsentations- und Kontextintegration " Kriterienkatalog als Leitfaden und Analyseinstrument " Anwendungsbeispiele aus der klinischen Routine.

Health informatics. --- Computer science. --- Health Informatics. --- Computer Science, general.

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Dieses Buch liefert praxisbezogenes Wissen zur Planung, Durchführung und Interpretation von klinischen Studien und richtet sich an alle Personen, die eine wissenschaftliche Karriere beschreiten wollen oder an Evidence Based Medicine interessiert sind. Dem Leser wird didaktisch eindrucksvoll vermittelt wie z.B. Studienprotokolle richtig erstellt werden, welche statistische Auswertung wofür verwendet wird oder wie wissenschaftliche Studien anderer kritisch gelesen oder hinterfragt werden können. Wichtige Fragen und Punkte werden dabei anhand von praxisrelevanten Beispielen ausführlich behandelt. Die zweite Auflage wurde völlig neu überarbeitet und mehrere neue Kapitel sind dazugekommen. Unter anderem werden nun auch Analyse und Interpretation von Beobachtungsstudien, Good Clinical Practice, Messung von Lebensqualität, Randomisierungsformen (z.B. cross-over und faktorielles Design) und Wissenschaftstheorie beschrieben. Außerdem gibt es noch mehr anschauliche Fallstudien.

Health administration. --- Health informatics. --- Medicine. --- Life sciences. --- Statistics . --- Health Administration. --- Health Informatics. --- Biomedicine, general. --- Life Sciences, general. --- Statistics for Life Sciences, Medicine, Health Sciences.

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The nineteenth biennial International Conference on Information Processing in Medical Imaging (IPMI) was held July 11–15, 2005 in Glenwood Springs, CO, USA on the Spring Valley campus of the Colorado Mountain College. Following the successful meeting in beautiful Ambleside in England, this year’s conference addressed important recent developments in a broad range of topics related to the acquisition, analysis and application of biomedical images. Interest in IPMI has been steadily growing over the last decade. This is p- tially due to the increased number of researchers entering the ?eld of medical imagingasaresultoftheWhitakerFoundationandtherecentlyformedNational Institute of Biomedical Imaging and Bioengineering. This year, there were 245 full manuscripts submitted to the conference which was twice the number s- mitted in 2003 and almost four times the number of submissions in 2001. Of these papers, 27 were accepted as oral presentations, and 36 excellent subm- sions that could not be accommodated as oral presentations were presented as posters. Selection of the papers for presentation was a di?cult task as we were unable to accommodate many of the excellent papers submitted this year. All accepted manuscripts were allocated 12 pages in these proceedings.

Optical data processing. --- Signal processing. --- Image processing. --- Speech processing systems. --- Health informatics. --- Radiology. --- Artificial intelligence. --- Computer graphics. --- Image Processing and Computer Vision. --- Signal, Image and Speech Processing. --- Health Informatics. --- Imaging / Radiology. --- Artificial Intelligence. --- Computer Graphics. --- Diagnostic imaging --- Digital techniques

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With the rapid increase in the variety and quantity of biomedical images in recent years, we see a steadily growing number of computer vision technologies applied to biomedical applications. The time is ripe for us to take a closer look at the accomplishments and experiences gained in this research subdomain, and to strategically plan the directions of our future research. The scientific goal of our workshop, “Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends” (CVBIA), is to examine the diverse applications of computer vision to biomedical image applications, considering both current methods and promising new trends. An additional goal is to provide the opportunity for direct interactions between (1) prominent senior researchers and young scientists, including students, postdoctoral associates and junior faculty; (2) local researchers and international leaders in biomedical image analysis; and (3) computer scientists and medical practitioners. Our CVBIA workshop had two novel characteristics: each contributed paper was authored primarily by a young scientist, and the workshop attracted an unusually large number of well-respected invited speakers (and their papers). We had the good fortune of having Dr. Ayache of INRIA, France to talk about “Computational Anatomy and Computational Physiology,” Prof. Grimson of MIT to discuss “Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge,” Dr. Jiang of the Chinese Academy of Sciences to present their work on “Computational Neuroanatomy and Brain Connectivity,” Prof.

Pattern recognition. --- Optical data processing. --- Computer graphics. --- Artificial intelligence. --- Radiology. --- Health informatics. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Computer Graphics. --- Artificial Intelligence. --- Imaging / Radiology. --- Health Informatics. --- Imaging systems in medicine --- Computer vision --- Medicine --- Computer simulation

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The nineteenth biennial International Conference on Information Processing in Medical Imaging (IPMI) was held July 11–15, 2005 in Glenwood Springs, CO, USA on the Spring Valley campus of the Colorado Mountain College. Following the successful meeting in beautiful Ambleside in England, this year’s conference addressed important recent developments in a broad range of topics related to the acquisition, analysis and application of biomedical images. Interest in IPMI has been steadily growing over the last decade. This is p- tially due to the increased number of researchers entering the ?eld of medical imagingasaresultoftheWhitakerFoundationandtherecentlyformedNational Institute of Biomedical Imaging and Bioengineering. This year, there were 245 full manuscripts submitted to the conference which was twice the number s- mitted in 2003 and almost four times the number of submissions in 2001. Of these papers, 27 were accepted as oral presentations, and 36 excellent subm- sions that could not be accommodated as oral presentations were presented as posters. Selection of the papers for presentation was a di?cult task as we were unable to accommodate many of the excellent papers submitted this year. All accepted manuscripts were allocated 12 pages in these proceedings.

Optical data processing. --- Signal processing. --- Image processing. --- Speech processing systems. --- Health informatics. --- Radiology. --- Artificial intelligence. --- Computer graphics. --- Image Processing and Computer Vision. --- Signal, Image and Speech Processing. --- Health Informatics. --- Imaging / Radiology. --- Artificial Intelligence. --- Computer Graphics. --- Diagnostic imaging --- Digital techniques