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Biopsy Planner - Visual Analysis for Needle Pathway Planning in Deep Seated Brain Tumor Biopsy

P. Herghelegiu, V. Manta, R. Perin, S. Bruckner, and M. E. Gröller

Abstract

Biopsies involve taking samples from living tissue using a biopsy needle. In current clinical practice they are a first mandatory step before any further medical actions are planned. Performing a biopsy on a deep seated brain tumor requires considerable time for establishing and validating the desired biopsy needle pathway to avoid damage. In this paper, we present a system for the visualization, analysis, and validation of biopsy needle pathways. Our system uses a multi-level approach for identifying stable needle placements which minimize the risk of hitting blood vessels. This is one of the major dangers in this type of intervention. Our approach helps in identifying and visualizing the point on the pathway that is closest to a surrounding blood vessel, requiring a closer inspection by the neurosurgeon. An evaluation by medical experts is performed to demonstrate the utility of our system.

P. Herghelegiu, V. Manta, R. Perin, S. Bruckner, and M. E. Gröller, "Biopsy Planner - Visual Analysis for Needle Pathway Planning in Deep Seated Brain Tumor Biopsy," Computer Graphics Forum, vol. 31, iss. 3, p. 1085–1094, 2012. doi:10.1111/j.1467-8659.2012.03101.x
[BibTeX]

Biopsies involve taking samples from living tissue using a biopsy needle. In current clinical practice they are a first mandatory step before any further medical actions are planned. Performing a biopsy on a deep seated brain tumor requires considerable time for establishing and validating the desired biopsy needle pathway to avoid damage. In this paper, we present a system for the visualization, analysis, and validation of biopsy needle pathways. Our system uses a multi-level approach for identifying stable needle placements which minimize the risk of hitting blood vessels. This is one of the major dangers in this type of intervention. Our approach helps in identifying and visualizing the point on the pathway that is closest to a surrounding blood vessel, requiring a closer inspection by the neurosurgeon. An evaluation by medical experts is performed to demonstrate the utility of our system.
@ARTICLE {Herghelegiu-2012-BPV,
author = "Paul Herghelegiu and Vasile Manta and Radu Perin and Stefan Bruckner and Meister Eduard Gr{\"o}ller",
title = "Biopsy Planner - Visual Analysis for Needle Pathway Planning in Deep Seated Brain Tumor Biopsy",
journal = "Computer Graphics Forum",
year = "2012",
volume = "31",
number = "3",
pages = "1085--1094",
month = "jun",
abstract = "Biopsies involve taking samples from living tissue using a biopsy  needle. In current clinical practice they are a first mandatory step  before any further medical actions are planned. Performing a biopsy  on a deep seated brain tumor requires considerable time for establishing  and validating the desired biopsy needle pathway to avoid damage.  In this paper, we present a system for the visualization, analysis,  and validation of biopsy needle pathways. Our system uses a multi-level  approach for identifying stable needle placements which minimize  the risk of hitting blood vessels. This is one of the major dangers  in this type of intervention. Our approach helps in identifying and  visualizing the point on the pathway that is closest to a surrounding  blood vessel, requiring a closer inspection by the neurosurgeon.  An evaluation by medical experts is performed to demonstrate the  utility of our system.",
pdf = "pdfs/Herghelegiu-2012-BPV.pdf",
images = "images/Herghelegiu-2012-BPV.jpg",
thumbnails = "images/Herghelegiu-2012-BPV.png",
youtube = "https://www.youtube.com/watch?v=PBEv-D_0Zm8",
affiliation = "tuwien",
doi = "10.1111/j.1467-8659.2012.03101.x",
event = "EuroVis 2012",
keywords = "biopsy planning, medical visualization, visual analysis",
location = "Vienna, Austria",
url = "//www.cg.tuwien.ac.at/research/publications/2012/Herghelegiu-2012-BPV/"
}
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