@inproceedings{PB-VRVis-2018-002,
author = {Pezenka, Lukas and Wolfsberger, Stefan and B{\"u}hler, Katja},
title = {Employing Spatial Indexing for Flexibility and Scalability
  in Brain Biopsy Planning},
year = {2018},
booktitle = {Bildverarbeitung f{\"u}r die Medizin 2018},
editor = {Maier, Andreas and Deserno, Thomas M. and Handels, Heinz
  and Maier-Hein, Klaus Hermann and Palm, Christoph
  and Tolxdorff, Thomas},
doi = {10.1007/978-3-662-56537-7_45},
url = {https://www.vrvis.at/publications/PB-VRVis-2018-002},
publisher = {Springer Berlin Heidelberg},
isbn = {978-3-662-56537-7},
pages = {145--150},
abstract = {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.},
}