CRS4 Articolo

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https://hdl.handle.net/11050/49
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Mostra il contenuto di CRS4 Articolo per Autore "Agus, Marco"

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  • Immagine di anteprima
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    A multiprocessor decoupled system for the simulation of temporal bone surgery
    (Springer, 2002-07) Agus, Marco; Giachetti, Andrea; Gobbetti, Enrico; Zanetti, Gianluigi; Zorcolo, Antonio
    A training system for simulating temporal bone surgery is presented. The system is based on patient-specific volumetric object models derived from 3D CT and MR imaging data. Real-time feedback is provided to the trainees via real-time volume rendering and haptic feedback. The performance constraints dictated by the human perceptual system are met by exploiting parallelism via a decoupled simulation approach on a multi-processor PC platform. In this paper, system components are detailed and the current state of the integrated system is presented.
  • Immagine di anteprima
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    An interactive 3D medical visualization system based on a light field display
    (Springer-Verlag, 2009-09-01) Agus, Marco; Bettio, Fabio; Giachetti, Andrea; Gobbetti, Enrico; Iglesias Guitián, José Antonio; Marton, Fabio; Nilsson, Jonas; Pintore, Giovanni; CRS4
    We present a prototype medical data visualization system exploiting a light field display and custom direct volume rendering techniques to enhance understanding of massive volumetric data, such as CT, MRI, and PET scans. The system can be integrated with standard medical image archives and extends the capabilities of current radiology workstations by supporting real-time rendering of volumes of potentially unlimited size on light field displays generating dynamic observer-independent light fields. The system allows multiple untracked naked-eye users in a sufficiently large interaction area to coherently perceive rendered volumes as real objects, with stereo and motion parallax cues. In this way, an effective collaborative analysis of volumetric data can be achieved. Evaluation tests demonstrate the usefulness of the generated depth cues and the improved performance in understanding complex spatial structures with respect to standard techniques.
  • Immagine di anteprima
    Item
    An interactive 3D medical visualization system based on a light field display
    (Springer, 2009-09) Agus, Marco; Bettio, Fabio; Giachetti, Andrea; Gobbetti, Enrico; Iglesias Guitián, José Antonio; Marton, Fabio; Nilsson, Jonas; Pintore, Giovanni
    This paper presents a prototype medical data visualization system exploiting a light field display and custom direct volume rendering techniques to enhance understanding of massive volumetric data, such as CT, MRI, and PET scans. The system can be integrated with standard medical image archives and extends the capabilities of current radiology workstations by supporting real-time rendering of volumes of potentially unlimited size on light field displays generating dynamic observer-independent light fields. The system allows multiple untracked naked-eye users in a sufficiently large interaction area to coherently perceive rendered volumes as real objects, with stereo and motion parallax cues. In this way, an effective collaborative analysis of volumetric data can be achieved. Evaluation tests demonstrate the usefulness of the generated depth cues and the improved performance in understanding complex spatial structures with respect to standard techniques.
  • Immagine di anteprima
    Item
    Real-time haptic and visual simulation of bone dissection
    (MIT, 2003-02) Agus, Marco; Giachetti, Andrea; Gobbetti, Enrico; Zanetti, Gianluigi; Zorcolo, Antonio
    Bone dissection is an important component of many surgical procedures. In this paper, we discuss a haptic and visual simulation of a bone-cutting burr that is being developed as a component of a training system for temporal bone surgery. We use a physically motivated model to describe the burr-bone interaction, which includes haptic forces evaluation, the bone erosion process, and the resulting debris. The current implementation, directly operating on a voxel discretization of patient-specific 3D CT and MR imaging data, is efficient enough to provide real-time feedback on a low-end multiprocessing PC platform.