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Post-operative deep brain stimulation assessment: Automatic data integration and report generation

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DOI

  • Andreas Husch, Centre Hospitalier de Luxembourg, University of Luxembourg
  • ,
  • Mikkel V. Petersen
  • Peter Gemmar, University of Luxembourg
  • ,
  • Jorge Goncalves, University of Luxembourg
  • ,
  • Niels Sunde
  • ,
  • Frank Hertel, Centre Hospitalier de Luxembourg, University of Luxembourg

Background: The gold standard for post-operative deep brain stimulation (DBS) parameter tuning is a monopolar review of all stimulation contacts, a strategy being challenged by recent developments of more complex electrode leads. Objective: Providing a method to guide clinicians on DBS assessment and parameter tuning by automatically integrating patient individual data. Methods: We present a fully automatic method for visualization of individual deep brain structures in relation to a DBS lead by combining precise electrode recovery from post-operative imaging with individual estimates of deep brain morphology utilizing a 7T-MRI deep brain atlas. Results: The method was evaluated on 20 STN DBS cases. It demonstrated robust automatic creation of 3D-enabled PDF reports visualizing electrode to brain structure relations and proved valuable in detecting miss placed electrodes. Discussion: Automatic DBS assessment is feasible and can conveniently provide clinicians with relevant information on DBS contact positions in relation to important anatomical structures.

Original languageEnglish
JournalBrain Stimulation
Volume11
Issue4
Pages (from-to)863-866
Number of pages4
ISSN1935-861X
DOIs
Publication statusPublished - Jul 2018

    Research areas

  • Brain atlas, Computer aided surgery, Deep brain stimulation, Image registration, Post-operative assessment, Subthalamic nucleus

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ID: 150202018