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Application of advanced virtual reality and 3D-computer assisted technologies in NESS
International Conference on Aesthetic Medicine and ENT
Ivica Klapan
The School of Medicine University of Zagreb, Croatia
The Schools of Medicine J J Strossmayer University in Osijek, Croatia
Klapan Medical Group Polyclinic, Croatia
In the modern-day world medical technology, NESS-systems represent the technique with highly precise, extremely small
navigation instruments which guides the surgeon through the software, provides the most flexible or-setup, with automatic
recognition of the surgeonâ??s intent during the procedure, and with no need to press a button, but with some functional limitations.
If surgeons would need additional information (e.g., how deep, and where the pathologic process invaded standard normal
mucosal layer inside the sinusâ? etc.), do they have appropriate, and sufficient support given by NESS, just even in very simple
cases? The answer is â??noâ?! But with additional application of several (semi) automatic tools (e.g. wave-propagation, skeletonbased
approaches, and methods based on depth-maps), developed as simulated spaces (artificial reality), it is possible to provide
appropriate support in OR (detection of regions of interest, structural and functional analyses, data-driven visualization
techniques for data exploration). From the very beginning of my 3D-CA-NESS/1994, and tele3D-CA-NESS/1998, 3D-image
analysis and processing, tissue modeling, and virtual endoscopy/surgery, represented a basis for various realistic simulations
in standard-FESS. The possibility of exact preoperative, non-invasive visualization of the spatial relationships of anatomic and
pathologic structures, including extremely fragile ones, size and extent of pathologic process, and of precisely predicting the
course of surgical procedure, allowed me considerable advantage in the preoperative examination of the patient and to reduce
the risk of intraoperative complications (all this by use of different VR-methods). Real-time-VR-technology will update the
3D-graphical visualization of the patientâ??s anatomy, providing a highly useful and informative visualization of the regions of
interest, thus bringing advancement in defining the geometric information on anatomical contours of 3D-humanhead models
by the transfer of so-called image pixels to contour pixels.