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Automatic Nuclei Detection During Parkinson's Stereotactic Neurosurgery

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00168987" target="_blank" >RIV/68407700:21230/10:00168987 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Nuclei Detection During Parkinson's Stereotactic Neurosurgery

  • Original language description

    Although single-cell microelectrode recordings (MER) are used to confirm stereotactic targets during surgery for movement disorders, there is a lack of automatic exploration methods which are designed for guiding surgeon during identifying appropriate target for deep-brain stimulation (DBS) implant. We propose automatic visualization method for MER to determine corresponding deep brain nuclei. The underground hypothesis is that nuclei automatic identification can help to determine the subthalamic nucleus (STN) in Parkinson's disease patients. This approach aims at improving patient outcome by helping neurosurgeons objectively identify target structures.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA309%2F09%2F1145" target="_blank" >GA309/09/1145: Mechanisms of deep brain stimulation: Role of the subthalamus in motor, visual and affective processing</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Analysis of Biomedical Signals and Images, BIOSIGNAL 2010, Proceedings

  • ISBN

    978-80-214-4106-4

  • ISSN

    1211-412X

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

  • Publisher name

    Brno University of Technology

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 27, 2010

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article