Atlas Optimization for Deep Brain Stimulation
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Authors
Author (Corporation)
Publication date
30.11.2020
Typ of student thesis
Course of study
Type
04B - Conference paper
Editors
Jarm, Tomaz
Cvetkoska, Aleksandra
Mahnič-Kalamiza, Samo
Miklavcic, Damijan
Editor (Corporation)
Supervisor
Parent work
EMBEC 2020: 8th European Medical and Biological Engineering
Special issue
DOI of the original publication
Series
Series number
Volume
80
Issue / Number
Pages / Duration
130-142
Patent number
Publisher / Publishing institution
IFMBE
Place of publication / Event location
Portorož
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
Abstract : Electrical stimulation of the deep parts of the brain is the standard answer for patients subject to drug-refractory movement disorders. Collective analysis of data collected during surgeries are crucial in order to provide more systematic planning assistance and understanding the physiological mechanisms of action. To that end, the process of normalizing anatomies captured with Magnetic Resonance imaging across patients is a key component. In this work, we present the optimization of a workflow designed to create group-specific anatomical templates: a group template is refined iteratively using the results of successive non-linear image registrations with refinement steps in the in the basal-ganglia area. All non-linear registrations were executed using the Advanced Normalization Tools (ANTs) and the quality of the nor-malization was measured using spacial overlap of anatomical structures manually delineated during the planning of the surgery. The parameters of the workflow evaluated were: the use of multiple modalities sequentially or together during each registration to the template, the number of iterations in the template creation and the fine settings of the non-linear registration tool. Using the T1 and white matter attenuated inverse recovery modalities (WAIR) together produced the best results, especially in the center of the brain. The optimal numbers of iterations of the template creation were higher than those from the literature and our previous works. Finally, the setting of the non-linear registration tool that improved results the most was the activation of the registration with the native voxel sizes of images, as opposed to down-sampled version of the images. The normalization process was optimized over our previous study and allowed to obtain the best possible anatomical nor-malization of this specific group of patient. It will be used to summarize and analyze peri-operative measurements during test stimulation. The aim is that the conclusions obtained from this analysis will be useful for assistance during the planning of new surgeries.
Keywords
Movement disorders, Registration, Optimisation, Atlas
Subject (DDC)
Event
Exhibition start date
Exhibition end date
Conference start date
29.11.2020
Conference end date
03.12.2020
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
No peer review
Open access category
License
Citation
Vogel, D., Wardell, K., Coste, J., Lemaire, J.-J., & Hemm-Ode, S. (2020). Atlas Optimization for Deep Brain Stimulation. In T. Jarm, A. Cvetkoska, S. Mahnič-Kalamiza, & D. Miklavcic (Eds.), EMBEC 2020: 8th European Medical and Biological Engineering (Vol. 80, pp. 130–142). IFMBE. https://doi.org/10.1007/978-3-030-64610-3_16