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The multimod application framework: a rapid application development tool for computer aided medicine.

Marco Viceconti1, Cinzia Zannoni, Debora Testi

  • 1Laboratorio di Tecnologia Medica, Istituti Ortopedici Rizzoli, Via di Barbiano, 1/10, 40136 Bologna, Italy.

Computer Methods and Programs in Biomedicine
|October 25, 2006
PubMed
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This study introduces OpenMAF, a new framework for developing multimodal applications in computer-aided medicine. It supports diverse data types and interaction methods for enhanced medical data interpretation.

Area of Science:

  • Computer-aided medicine
  • Medical visualization
  • Human-computer interaction

Background:

  • Multimodal applications are crucial for interpreting complex medical data.
  • Existing frameworks may lack flexibility in handling diverse data types and interaction methods.

Purpose of the Study:

  • To present the OpenMAF (Open Multimodal Application Framework) for rapid development of multimodal applications in computer-aided medicine.
  • To enable support for diverse biomedical data, multimodal visualization, and simultaneous use of various input-output devices.

Main Methods:

  • Developed a framework supporting DICOM, motion-capture, and simulation data.
  • Implemented multimodal display for interactive visualization of complex datasets.
  • Integrated support for 3D trackers, stereoscopic displays, haptics, and speech systems for multimodal interaction.

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Main Results:

  • OpenMAF facilitates the creation of applications that are multimodal in data, representation, and interaction.
  • The framework is designed for efficient performance on various hardware, including lower-power computers.
  • It is built on portable libraries, compilable on Windows, MacOS X, and Unix/Linux platforms supporting OpenGL.

Conclusions:

  • OpenMAF provides a versatile platform for advancing multimodal applications in computer-aided medicine.
  • The framework enhances user interpretation of complex medical data through integrated visualization and interaction capabilities.
  • Its cross-platform compatibility and hardware adaptability promote wider adoption in medical research and practice.