Post-operative electrode placement prediction in deep brain stimulation using support vector regression

Alexa Singer, Chencheng Zhang, Tao Wang, Suhao Qiu, Dianyou Li, Yiping Du, Zhi Pei Liang, Pawel Herman, Bomin Sun, Yuan Feng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Deep brain stimulation (DBS) is a neurosurgical procedure for treating neurodegenerative diseases and neurological disorders such as Parkinson’s disease (PD) and epilepsy. Image guidance is crucial for the accurate placement of DBS electrodes. However, current surgical planning systems based on preoperative MR and CT images of the brain cannot take into account the intra-operative brain-shift, resulting in suboptimal electrode placement undermining clinical outcomes. In this study, a support vector regression (SVR) model was constructed based on 114 patient-specific data of PD patients. Two target nuclei were manually delineated based on pre-operative MR and CT images. Spatial coordinates of the two nuclei were collected and compared to the post-surgical electrode position from CT images. Analysis of a total of 45 features showed that the pre-operative target coordinates are the parameters mainly influencing the model prediction for both nuclei. The mean absolute error (MAE) of the prediction of the electrodes on unseen patients was 0.76mm. This study demonstrates the potential of using SVR modelling to improve current DBS surgical planning procedure and preoperative risk-assessment.

Original languageEnglish (US)
Title of host publicationISICDM 2019 - Conference Proceedings
Subtitle of host publication3rd International Symposium on Image Computing and Digital Medicine
PublisherAssociation for Computing Machinery
Pages202-207
Number of pages6
ISBN (Electronic)9781450372626
DOIs
StatePublished - Aug 24 2019
Event3rd International Symposium on Image Computing and Digital Medicine, ISICDM 2019 - Xi'an, China
Duration: Aug 24 2019Aug 26 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd International Symposium on Image Computing and Digital Medicine, ISICDM 2019
CountryChina
CityXi'an
Period8/24/198/26/19

Keywords

  • Brain-shift
  • Deep brain stimulation
  • Electrode misplacement
  • Support vector regression

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Singer, A., Zhang, C., Wang, T., Qiu, S., Li, D., Du, Y., Liang, Z. P., Herman, P., Sun, B., & Feng, Y. (2019). Post-operative electrode placement prediction in deep brain stimulation using support vector regression. In ISICDM 2019 - Conference Proceedings: 3rd International Symposium on Image Computing and Digital Medicine (pp. 202-207). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3364836.3364876