Publikationen

2011

• Informatics in Radiology: Use of a C-Arm Fluoroscopy Simulator to Support Training in Intraoperative Radiography

  Bott, O., Dresing, K., Wagner, M., Raab, B.-W., & Teistler, M. (2011). Informatics in Radiology: Use of a C-Arm Fluoroscopy Simulator to Support Training in Intraoperative Radiography. RadioGraphics, 31, E65-E75. http://doi.org/10.1148/rg.313105125

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  Mobile image intensifier systems (C-arms) are used frequently in orthopedic and reconstructive surgery, especially in trauma and emergency settings, but image quality and radiation exposure levels may vary widely, depending on the extent of the C-arm operator s knowledge and experience. Current training programs consist mainly of theoretical instruction in C-arm operation, the physical foundations of radiography, and radiation avoidance, and are largely lacking in hands-on application. A computer-based simulation program such as that tested by the authors may be one way to improve the effectiveness of C-arm training. In computer simulations of various scenarios commonly encountered in the operating room, trainees using the virtX program interact with three-dimensional models to test their knowledge base and improve their skill levels. Radiographs showing the simulated patient anatomy and surgical implants are “reconstructed” from data computed on the basis of the trainee s positioning of models of a C-arm, patient, and table, and are displayed in real time on the desktop monitor. Trainee performance is signaled in real time by color graphics in several control panels and, on completion of the exercise, is compared in detail with the performance of an expert operator. Testing of this computer-based training program in continuing medical education courses for operating room personnel showed an improvement in the overall understanding of underlying principles of intraoperative radiography performed with a C-arm, with resultant higher image quality, lower overall radiation exposure, and greater time efficiency. Supplemental material available at http://radiographics.rsna.org/lookup/suppl/doi:10.1148/rg.313105125/-/DC1.© RSNA, 2011

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  • Personenseiten

    • Teistler, Michael

  • Abteilung/Einrichtung

    • CIVU – Center for Interaction, Visualization and Usability

  • Fachbereich

    • Fachbereich 3: Information und Kommunikation

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  • 2011
  • Journal Article
  • • Oliver Bott
    • Klaus Dresing
    • Markus Wagner
    • Björn-Werner Raab
    • Michael Teistler

• Medico Ergonomics: A Human Centered Approach for Developing Smart Health Care Applications

  Podtschaske, B., Stahl, M., & Friesdorf, W. (2011). Medico Ergonomics: A Human Centered Approach for Developing Smart Health Care Applications. In M. Ziefle & C. Röcker (Hrsg.), Human-Centered Design of E-Health Technologies: Concepts, Methods and Applications (S. 22–40). Hershey, PA, USA: IGI Global. http://doi.org/10.4018/978-1-60960-177-5.ch002

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  The importance of technology for the medical sector is steadily growing. Potentials for rationalization that can help to overcome the problems of an ageing population exist. So far these expectations could not be fulfilled because some devices lack a sufficient usability concept and do not fulfill the user demands. This chapter will illustrate problems that can arise when developing user-centered and task-oriented “health care applications.” The “medico ergonomics approach” is introduced as a possibility to overcome these problems. The applicability of the developed approach is demonstrated with the help of a case study. Content of this case study is a usability context analysis of a web-based patient record. The case study shows the suitability of the medico ergonomic models to illustrate complex interrelations of patient treatment. Based on these results requirements are defined and task-supporting functions are derived. The models support the development of a “common ground of understanding” between the potential user and the developers of the product. This is a crucial condition for developing integrated and utilizable (software) products and therewith for developing ergonomic working systems.

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    • Podtschaske, Beatrice

  • Profilbereich

    • Gesundheit und Life Sciences

  • Fachbereich

    • Fachbereich 4: Wirtschaft

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  • 2011
  • Book Chapter
  • • Beatrice Podtschaske
    • Maria Stahl
    • Wolfgang Friesdorf
    • Martina Ziefle
    • Carsten Röcker

• Measuring and predicting software productivity: A systematic map and review

  Petersen, K. (2011). Measuring and predicting software productivity: A systematic map and review. Information and Software Technology, 53, 317–343.

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    • Petersen, Kai

  • Abteilung/Einrichtung

    • FLAIR - Flensburg Artificial Intelligence Research

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  • 2011
  • Journal Article
  • • Kai Petersen

• Insights supporting the proposal of possible ?symbiotic role? of marine bacteria on macroalgae

  Goecke, F. R., Labes, A., Wiese, J., & Imhoff, J. F. (2011). Insights supporting the proposal of possible ?symbiotic role? of marine bacteria on macroalgae. In MIMAS Symposium. Abgerufen von http://oceanrep.geomar.de/12926/

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  • 2011
  • Conference Paper
  • • Franz Goecke
    • Antje Labes
    • Jutta Wiese
    • Johannes Imhoff
  • • Microbiology

• Minimally Strict Polymorphic Functions

  Christiansen, J., & Seidel, D. (2011). Minimally Strict Polymorphic Functions. In Proceedings of the 13th International ACM SIGPLAN Symposium on Principles and Practices of Declarative Programming - PPDP 11 (S. 53). ACM Press. http://doi.org/10.1145/2003476.2003487

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  In this paper we show how to efficiently check whether a polymorphic function is minimally strict. A function is minimally strict if it is the minimal element of a specific less-strict ordering. We prove that we can check whether two polymorphic functions are related by the less-strict ordering by either checking it a) for an arbitrary monomorphic instance of the functions or b) for all shapes of the functions’ argument type. A shape is a value of a monomorphic instance of a polymorphic data type where each polymorphic component is replaced by an element that identifies its position in the data structure. In contrast to recent publications that characterize polymorphic functions by monomorphic instances we consider non-termination and selective strictness, i.e., a language closer to Haskell.

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    • Christiansen, Jan

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  • 2011
  • Conference Paper
  • • Jan Christiansen
    • Daniel Seidel

• LIDAR assisted collective pitch control

  Schlipf, D., Bossanyi, E., Carcangiu, C. E., Fischer, T., Maul, T., & Rossetti, M. (2011). LIDAR assisted collective pitch control (No. Deliverable D5.1.3). http://doi.org/10.18419/opus-3913

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    • Schlipf, David

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  • 2011
  • Report
  • • David Schlipf
    • Ervin Bossanyi
    • Carlo Carcangiu
    • Tim Fischer
    • Timo Maul
    • Michele Rossetti