Andreas Husch1, Mikkel V Petersen2, Peter Gemmar3, Jorge Goncalves3, Niels Sunde4, Frank Hertel5. 1. 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. 2. Department of Clinical Medicine - Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark. 3. Systems Control Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg. 4. Department of Neurosurgery, Aarhus University Hospital, Aarhus, Denmark. 5. National Department of Neurosurgery, Centre Hospitalier de Luxembourg, Luxembourg (City), Luxembourg; Systems Control Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
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.
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.
Authors: Andreas Horn; Ningfei Li; Till A Dembek; Ari Kappel; Chadwick Boulay; Siobhan Ewert; Anna Tietze; Andreas Husch; Thushara Perera; Wolf-Julian Neumann; Marco Reisert; Hang Si; Robert Oostenveld; Christopher Rorden; Fang-Cheng Yeh; Qianqian Fang; Todd M Herrington; Johannes Vorwerk; Andrea A Kühn Journal: Neuroimage Date: 2018-09-01 Impact factor: 6.556