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01 Real-time sensor fusion and 3D model update for minimally invasive surgery
To allow surgeons to get the most benefit out of the pre- and intra-operative
data available during minimally invasive surgery (MIS), we are developing an
array of complementary technologies, including 3D model reconstruction,
real-time 3D model update, physics-based graphics, vision-based activity
monitoring, optical tracking and large-workspace haptics. We combine these
techniques to build active user interfaces for image-guided radiology
applications (biopsy), neurosurgery (transarticular screw placement) and
visceral surgery (kidney and liver surgery), while providing efficient,
non-invasive surgeon-computer interaction.
Sub Projects
Several imaging devices and modalities (such as endoscopes, ultrasound probes,
etc.) are routinely used during MIS procedures to help surgeons interact with
the area of interest. The goal of this project is to extract more information
out of the data provided by these sensors in order to update in real-time the
navigation and guidance models created during the preoperative phase.
Currently, endoscopic images are only used for visualisation purposes - they
provide the surgeon with a visual feedback of the area of interest. The goal of
this project is to perform digital analysis in order to retrieve important
information from these images, such as 3D model registration and guidance
information.
The efficient use of endoscopic systems calls for long and difficult training,
while the information they provide is very straightforward - real-time images.
The goal of this project is to provide the surgeon with a set of intuitive
tools that facilitate the control and use of endoscopes, in order to remove the
complexity of handling such systems, while giving more efficient access to the
visual information.
Project Coordination
Last update on 2009-05-19.
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