Information

• Publication Type: PhD-Thesis
• Month: June

Abstract

Virtual endoscopy is the navigation of a virtual camera through anatomy, computationally reconstructed from radiological data. Virtual endoscopy mimics physical minimally invasive surgical activity and is used for diagnosis (e.g., the detection of colon polyps), planning of endoscopic interventions, postoperative assessment of surgical success and training for inexperienced endoscopists. This thesis introduces STEPS, a virtual endoscopy system designed as a planning and training tool for endonasal transsphenoidal pituitary surgery, a method used to minimally invasively remove tumors of the pituitary gland. A rigid endoscope is inserted into the nose and advanced through intracranial cavities towards the bony wall covering the pituitary gland. This bone is then opened and the tumor is removed. STEPS reconstructs the boundaries of the investigated cavities primarily using iso-surfacing in original CT data. Presegmented objects of interest can be added to the scene and displayed behind the semi-transparent isosurface. These objects (e.g., the tumor, the pituitary gland and important blood vessels) provide an augmented picture of patient anatomy to guide the surgeon, aid in planning the endoscopic approach, and help the user find an ideal site for actual surgical activity. Visual information can be further enhanced by display of rigid structures beyond the isosurface. The user can freely decide upon colors and lighting conditions. All rendering techniques applied by STEPS are completely CPU-based, ensuring a high amount of flexibility and hardware-independence. Nevertheless, rendering is efficient resulting in smooth interaction. STEPS allows free navigation through the nasal and paranasal anatomy, but can also be used to simulate the movement parameters of the rigid endoscopes. This includes simulation of surgical instruments and haptic feedback. Furthermore, STEPS allows the simulation of angled endoscopes and the simulation of barrel distortion as exhibited by real endoscope optics. This thesis gives an overview about existing techniques and applications of virtual endoscopy, introduces the field of application, and, in detail, describes STEPS, the required preprocessing, the rendering techniques and the user interface.

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BibTeX

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@phdthesis{neubauer-2005-vir,
  title =      "Virtual Endoscopy for Preoperative Planning and Training of
               Endonasal Transsphenoidal Pituitary Surgery",
  author =     "Andre Neubauer",
  year =       "2005",
  abstract =   "Virtual endoscopy is the navigation of a virtual camera
               through anatomy, computationally reconstructed from
               radiological data. Virtual endoscopy mimics physical
               minimally invasive surgical activity and is used for
               diagnosis (e.g., the detection of colon polyps), planning of
               endoscopic interventions, postoperative assessment of
               surgical success and training for inexperienced
               endoscopists. This thesis introduces STEPS, a virtual
               endoscopy system designed as a planning and training tool
               for endonasal transsphenoidal pituitary surgery, a method
               used to minimally invasively remove tumors of the pituitary
               gland. A rigid endoscope is inserted into the nose and
               advanced through intracranial cavities towards the bony wall
               covering the pituitary gland. This bone is then opened and
               the tumor is removed. STEPS reconstructs the boundaries of
               the investigated cavities primarily using iso-surfacing in
               original CT data. Presegmented objects of interest can be
               added to the scene and displayed behind the semi-transparent
               isosurface. These objects (e.g., the tumor, the pituitary
               gland and important blood vessels) provide an augmented
               picture of patient anatomy to guide the surgeon, aid in
               planning the endoscopic approach, and help the user find an
               ideal site for actual surgical activity. Visual information
               can be further enhanced by display of rigid structures
               beyond the isosurface. The user can freely decide upon
               colors and lighting conditions. All rendering techniques
               applied by STEPS are completely CPU-based, ensuring a high
               amount of flexibility and hardware-independence.
               Nevertheless, rendering is efficient resulting in smooth
               interaction. STEPS allows free navigation through the nasal
               and paranasal anatomy, but can also be used to simulate the
               movement parameters of the rigid endoscopes. This includes
               simulation of surgical instruments and haptic feedback.
               Furthermore, STEPS allows the simulation of angled
               endoscopes and the simulation of barrel distortion as
               exhibited by real endoscope optics. This thesis gives an
               overview about existing techniques and applications of
               virtual endoscopy, introduces the field of application, and,
               in detail, describes STEPS, the required preprocessing, the
               rendering techniques and the user interface.",
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  school =     "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  month =      jun,
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2005/neubauer-2005-vir/",
}

• Computer Graphics Group
• Research
• Publications
• 2005
• neubauer-2005-vir