Needle-Stability Maps for Brain-Tumor Biopsies

Paul Herghelegiu, Vasile Manta, Meister Eduard Gröller
Needle-Stability Maps for Brain-Tumor Biopsies
In Proceedings of 15th International Conference on System Theory, Control and computing (ICSTCC 2011), pages 259-263. October 2011.
[Paper]

Information

Abstract

Minimally invasive surgical procedures like biopsies require the insertion of a needle to reach a specific tissue from where samples are taken. This process is affected by a number of errors that can lead to a different needle pathway than originally planned. In the case of brain-tumor biopsies, these errors can be caused by the brain shifting when the skull is drilled, measurement errors due to the physical framework that supports the biopsy needle or some other human errors. To provide support for preoperative planning, we introduce the concept of a biopsy-needle stability-map. This map provides information on how stable a biopsy-needle pathway is. We also introduce an algorithm for finding the reachable points on the tumor border from one specific entry point. A technique for automatically selecting the needle pathway that offers the biggest minimal distance to any blood vessel is also presented. A 3D representation of the regions of interest (tumor, blood vessels) together with the needle pathway and the reachable points of the tumor has also been implemented. The resulting stability map visually represents, using color-coding, how close to any blood vessel the pathways surrounding the main one are.

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BibTeX

@inproceedings{Groeller_2011_NSM,
  title =      "Needle-Stability Maps for Brain-Tumor Biopsies",
  author =     "Paul Herghelegiu and Vasile Manta and Meister Eduard
               Gr{"o}ller",
  year =       "2011",
  abstract =   "Minimally invasive surgical procedures like biopsies require
               the insertion of a needle to reach a specific tissue from
               where samples are taken. This process is affected by a
               number of errors that can lead to a different needle pathway
               than originally planned. In the case of brain-tumor
               biopsies, these errors can be caused by the brain shifting
               when the skull is drilled, measurement errors due to the
               physical framework that supports the biopsy needle or some
               other human errors. To provide support for preoperative
               planning, we introduce the concept of a biopsy-needle
               stability-map. This map provides information on how stable a
               biopsy-needle pathway is. We also introduce an algorithm for
               finding the reachable points on the tumor border from one
               specific entry point. A technique for automatically
               selecting the needle pathway that offers the biggest minimal
               distance to any blood vessel is also presented. A 3D
               representation of the regions of interest (tumor, blood
               vessels) together with the needle pathway and the reachable
               points of the tumor has also been implemented. The resulting
               stability map visually represents, using color-coding, how
               close to any blood vessel the pathways surrounding the main
               one are.",
  month =      oct,
  booktitle =  "Proceedings of 15th International Conference on System
               Theory, Control and computing (ICSTCC 2011)",
  editor =     "Editura Universitaria Craiova (EUC)",
  issn =       "2068-0465",
  location =   "Sinaia, Romania",
  pages =      "259--263",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2011/Groeller_2011_NSM/",
}