CUED Publications database

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

Husch, A and Petersen, MV and Gemmar, P and Goncalves, J and Sunde, N and Hertel, F (2018) Post-operative deep brain stimulation assessment: Automatic data integration and report generation. Brain Stimul, 11. pp. 863-866.

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Brain atlas Computer aided surgery Deep brain stimulation Image registration Post-operative assessment Subthalamic nucleus Brain Deep Brain Stimulation Electrodes, Implanted Electronic Data Processing Humans Magnetic Resonance Imaging Parkinson Disease Postoperative Care Subthalamic Nucleus
Subjects: UNSPECIFIED
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 31 Jan 2018 20:05
Last Modified: 02 Sep 2021 05:19
DOI: 10.1016/j.brs.2018.01.031