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Bildverarbeitung für die Medizin 2018Abstract
Planning of deep brain tumor biopsy is a time intensive task and
the result highly dependent on tumor position and patient individual
anatomy. The decision on the best needle trajectory is generally based
on expert knowledge on optimal entry points and angles as well as
trajectory length and rigid rules in respect to avoidance of and safety
margins to risk structures. The increasing availability of more detailed
data on brain anatomy further increases the complexity of the planning
task. However, current computer supported planning systems generally
work with fixed rules and a limited set of structures at risk. We
propose BrainXPlore, a visual analytics based planning tool allowing
neurosurgeon to interactively explore and refine the space of possible
trajectories in the context of different quality measures and to define
custom rules. To ensure interactivity and performance even for a high
number of anatomical structures, we employ a spatial index allowing to
access distance information for trajectories in real time. We evaluated
BrainXPlore on real brain biopsy planning tasks and conclude that our
system can decrease the time needed for biopsy planning and aid novice
users in their decision-making process.
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