Automatic Identification of DBS Parameters from the Volume of Tissue Activated (VTA) Using Support Vector Machines

  • Robinson Aguilar
  • Hernán Darío Vargas-CardonaEmail author
  • Andrés M. Álvarez
  • Álvaro A. Orozco
  • Piedad Navarro
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11401)


Deep brain stimulation (DBS) is a neurosurgical method to treat symptoms of Parkinson’ disease. Several computational models, mostly based on finite element method (FEM) have been employed to describe the interaction of electromagnetic waves in brain tissues during DBS. Also, for planning the DBS, it is necessary to estimate with precision the neural response generated by electrodes in the stimulated region, what it is known as volume of tissue activated (VTA). However, this estimation should consider the intrinsic properties of each patient, therefore DBS parameters must be adjusted individually. In this work, we propose a 3D interaction module for estimating the DBS parameters (amplitude, contacts, among others) from a desired VTA using support vector machines (inverse problem). Also, we developed an interactive application for analyzing the VTA generated by DBS in the subthalamic nucleus (STN) combining medical imaging and non-rigid deformation models. This module is a part of the NEURONAV software, previously developed for clinical support during postoperative therapy of neuro-modulation performed in Colombian PD patients. Outcomes show that it is possible to estimate with high accuracy the DBS parameters for different subjects.



Authors thank to the Corporación Instituto de Administración y Finanzas (CIAF) for funding this research.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Robinson Aguilar
    • 1
  • Hernán Darío Vargas-Cardona
    • 1
    Email author
  • Andrés M. Álvarez
    • 1
  • Álvaro A. Orozco
    • 1
  • Piedad Navarro
    • 2
  1. 1.Department of Electric EngineeringUniversidad Tecnológica de PereiraPereiraColombia
  2. 2.Corporación Instituto de Administración y Finanzas (CIAF)PereiraColombia

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