BACKGROUND: Directional deep brain stimulation (DBS) allows steering the stimulation in an axial direction which offers greater flexibility in programming. However, accurate anatomical visualization of the lead orientation is required for interpreting the observed stimulation effects and to guide programming. OBJECTIVES: In this study we aimed to develop and test an accurate and robust algorithm for determining the orientation of segmented electrodes based on standard postoperative CT imaging used in DBS. METHODS: Orientation angles of directional leads (CartesiaTM; Boston Scientific, Marlborough, MA, USA) were determined using CT imaging. Therefore, a sequential algorithm was developed that quantitatively compares the similarity of the observed CT artifacts with calculated artifact patterns based on the lead's orientation marker and a geometric model of the segmented electrodes. Measurements of seven ground truth phantoms and three leads with 60 different configurations of lead implantation and orientation angles were analyzed for validation. RESULTS: The accuracy of the determined electrode orientation angles was -0.6 ± 1.5° (range: -5.4 to 4.2°). This accuracy proved to be sufficiently high to resolve even subtle differences between individual leads. CONCLUSIONS: The presented algorithm is user independent and provides highly accurate results for the orientation of the segmented electrodes for all angular constellations that typically occur in clinical cases.
BACKGROUND: Directional deep brain stimulation (DBS) allows steering the stimulation in an axial direction which offers greater flexibility in programming. However, accurate anatomical visualization of the lead orientation is required for interpreting the observed stimulation effects and to guide programming. OBJECTIVES: In this study we aimed to develop and test an accurate and robust algorithm for determining the orientation of segmented electrodes based on standard postoperative CT imaging used in DBS. METHODS: Orientation angles of directional leads (CartesiaTM; Boston Scientific, Marlborough, MA, USA) were determined using CT imaging. Therefore, a sequential algorithm was developed that quantitatively compares the similarity of the observed CT artifacts with calculated artifact patterns based on the lead's orientation marker and a geometric model of the segmented electrodes. Measurements of seven ground truth phantoms and three leads with 60 different configurations of lead implantation and orientation angles were analyzed for validation. RESULTS: The accuracy of the determined electrode orientation angles was -0.6 ± 1.5° (range: -5.4 to 4.2°). This accuracy proved to be sufficiently high to resolve even subtle differences between individual leads. CONCLUSIONS: The presented algorithm is user independent and provides highly accurate results for the orientation of the segmented electrodes for all angular constellations that typically occur in clinical cases.
Authors: Alexandre Boutet; Robert Gramer; Christopher J Steele; Gavin J B Elias; Jürgen Germann; Ricardo Maciel; Walter Kucharczyk; Ludvic Zrinzo; Andres M Lozano; Alfonso Fasano Journal: Curr Neurol Neurosci Rep Date: 2019-05-30 Impact factor: 5.081
Authors: Joshua E Aman; Luke A Johnson; David Escobar Sanabria; Jing Wang; Remi Patriat; Meghan Hill; Ethan Marshall; Colum D MacKinnon; Scott E Cooper; Lauren E Schrock; Michael C Park; Noam Harel; Jerrold L Vitek Journal: Neurobiol Dis Date: 2020-02-20 Impact factor: 5.996
Authors: Matthieu Béreau; Astrid Kibleur; Walid Bouthour; Emilie Tomkova Chaoui; Nicholas Maling; T A Khoa Nguyen; Shahan Momjian; Maria Isabel Vargas Gomez; André Zacharia; Julien F Bally; Vanessa Fleury; Laurent Tatu; Pierre R Burkhard; Paul Krack Journal: Front Neurol Date: 2020-07-02 Impact factor: 4.003
Authors: T A Khoa Nguyen; Milan Djilas; Andreas Nowacki; André Mercanzini; Michael Schüpbach; Philipp Renaud; Claudio Pollo Journal: PLoS One Date: 2019-06-19 Impact factor: 3.240
Authors: Jean-Philippe Lévy; T A Khoa Nguyen; Lenard Lachenmayer; Ines Debove; Gerd Tinkhauser; Katrin Petermann; Alba Segura Amil; Joan Michelis; Michael Schüpbach; Andreas Nowacki; Claudio Pollo Journal: Neuroimage Clin Date: 2020-11-02 Impact factor: 4.881