Anatomical brain structures normalization for deep brain stimulation in movement disorders

NeuroImage: Clinical

Jérôme Coste¹  Ashesh Shah²  Simone Hemm³  Jean-Jacques Lemaire⁴  Dorian Vogel⁴  Karin Wårdell⁵ 

[1] Corresponding author at: Institute for Medical Engineering and Medical Informatics, School of Life Sciences, University of Applied Sciences and Arts Northwestern Switzerland, Hofackerstrasse 30, 4132 Muttenz, Switzerland.;Department of Biomedical Engineering, Linköping University, SE-581 85 Linköping, Sweden;Service de Neurochirurgie, Hôpital Gabriel-Montpied, Centre Hospitalier Universitaire de Clermont-Ferrand, 58 rue Montalembert, F-63003 Clermont-Ferrand Cedex 1, France;Institute for Medical Engineering and Medical Informatics, School of Life Sciences, University of Applied Sciences and Arts Northwestern Switzerland, Hofackerstrasse 30, 4132 Muttenz, Switzerland;Université Clermont Auvergne, CNRS, SIGMA Clermont, Institut Pascal, F-63000 Clermont-Ferrand, France;

关键词: Deep brain stimulation (DBS);    Patient normalization;    Template;    Group analysis;    Image registration;    Thalamus;   

DOI  :  

来源: DOAJ

【 摘 要 】

Deep brain stimulation (DBS) therapy requires extensive patient-specific planning prior to implantation to achieve optimal clinical outcomes. Collective analysis of patient’s brain images is promising in order to provide more systematic planning assistance. In this paper the design of a normalization pipeline using a group specific multi-modality iterative template creation process is presented. The focus was to compare the performance of a selection of freely available registration tools and select the best combination. The workflow was applied on 19 DBS patients with T1 and WAIR modality images available. Non-linear registrations were computed with ANTS, FNIRT and DRAMMS, using several settings from the literature. Registration accuracy was measured using single-expert labels of thalamic and subthalamic structures and their agreement across the group. The best performance was provided by ANTS using the High Variance settings published elsewhere. Neither FNIRT nor DRAMMS reached the level of performance of ANTS. The resulting normalized definition of anatomical structures were used to propose an atlas of the diencephalon region defining 58 structures using data from 19 patients.

【 授权许可】

Unknown