دورية أكاديمية
أعرض في EDS

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

التفاصيل البيبلوغرافية
العنوان: Post-operative deep brain stimulation assessment: Automatic data integration and report generation.
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
الوصف
تدمد:1876-4754
DOI:10.1016/j.brs.2018.01.031