دورية أكاديمية
Post-operative deep brain stimulation assessment: Automatic data integration and report generation.
العنوان: | Post-operative deep brain stimulation assessment: Automatic data integration and report generation. |
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المؤلفون: | Husch A; National Department of Neurosurgery, Centre Hospitalier de Luxembourg, Luxembourg (City), Luxembourg; Systems Control Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg. Electronic address: andreas.husch@uni.lu., Petersen MV; Department of Clinical Medicine - Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark., Gemmar P; Systems Control Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg., Goncalves J; Systems Control Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg., Sunde N; Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark., Hertel F; National Department of Neurosurgery, Centre Hospitalier de Luxembourg, Luxembourg (City), Luxembourg; Systems Control Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg. |
المصدر: | Brain stimulation [Brain Stimul] 2018 Jul - Aug; Vol. 11 (4), pp. 863-866. Date of Electronic Publication: 2018 Feb 01. |
نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
اللغة: | English |
بيانات الدورية: | Publisher: Elsevier Country of Publication: United States NLM ID: 101465726 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-4754 (Electronic) Linking ISSN: 18764754 NLM ISO Abbreviation: Brain Stimul Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: New York : Elsevier |
مواضيع طبية MeSH: | Deep Brain Stimulation/*methods , Electronic Data Processing/*methods , Postoperative Care/*methods , Subthalamic Nucleus/*physiology, Brain/physiology ; Deep Brain Stimulation/instrumentation ; Electrodes, Implanted ; Humans ; Magnetic Resonance Imaging/methods ; Parkinson Disease/physiopathology ; Parkinson Disease/therapy ; Postoperative Care/instrumentation |
مستخلص: | 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. (Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.) |
فهرسة مساهمة: | Keywords: Brain atlas; Computer aided surgery; Deep brain stimulation; Image registration; Post-operative assessment; Subthalamic nucleus |
تواريخ الأحداث: | Date Created: 20180213 Date Completed: 20190220 Latest Revision: 20190320 |
رمز التحديث: | 20231215 |
DOI: | 10.1016/j.brs.2018.01.031 |
PMID: | 29429953 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1876-4754 |
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DOI: | 10.1016/j.brs.2018.01.031 |