Clinical subthalamic nucleus prediction from high-field brain MRI

Jinyoung Kim, Yuval Duchin, Guillermo Sapiro, Jerrold Vitek, Noam Harel

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

2 Citations (Scopus)

Abstract

The subthalamic nucleus (STN) within the sub-cortical region of the Basal ganglia is a crucial targeting structure for Parkinson's Deep brain stimulation (DBS) surgery. Volumetric segmentation of such small and complex structure, which is elusive in clinical MRI protocols, is thereby a pre-requisite process for reliable DBS direct targeting. While direct visualization of the STN is facilitated with advanced ultrahigh-field MR imaging (7 Tesla), such high fields are not always clinically available. In this paper, we aim at the automatic prediction of the STN region on clinical low-field MRI, exploiting dependencies between the STN and its adjacent structures, learned from ultrahigh-field MRI. We present a framework based on a statistical shape model to learn such shape relationship on high quality MR data sets. This allows for an accurate prediction and visualization of the STN structure, given detectable predictors on the low-field MRI. Experimental results on Parkinson's patients demonstrate that the proposed approach enables accurate estimation of the STN on clinical 1.5T MRI.

Original languageEnglish (US)
Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PublisherIEEE Computer Society
Pages1264-1267
Number of pages4
ISBN (Electronic)9781479923748
DOIs
StatePublished - Jul 21 2015
Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
Duration: Apr 16 2015Apr 19 2015

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2015-July
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
CountryUnited States
CityBrooklyn
Period4/16/154/19/15

Fingerprint

Subthalamic Nucleus
Magnetic resonance imaging
Brain
Deep Brain Stimulation
Visualization
Surgery
Statistical Models
Clinical Protocols
Basal Ganglia
Imaging techniques

Keywords

  • Deep brain stimulation
  • high-field MRI
  • statistical shape models
  • subthalamic nucleus

Cite this

Kim, J., Duchin, Y., Sapiro, G., Vitek, J., & Harel, N. (2015). Clinical subthalamic nucleus prediction from high-field brain MRI. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015 (pp. 1264-1267). [7164104] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July). IEEE Computer Society. https://doi.org/10.1109/ISBI.2015.7164104

Clinical subthalamic nucleus prediction from high-field brain MRI. / Kim, Jinyoung; Duchin, Yuval; Sapiro, Guillermo; Vitek, Jerrold; Harel, Noam.

2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, 2015. p. 1264-1267 7164104 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July).

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

Kim, J, Duchin, Y, Sapiro, G, Vitek, J & Harel, N 2015, Clinical subthalamic nucleus prediction from high-field brain MRI. in 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015., 7164104, Proceedings - International Symposium on Biomedical Imaging, vol. 2015-July, IEEE Computer Society, pp. 1264-1267, 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, United States, 4/16/15. https://doi.org/10.1109/ISBI.2015.7164104
Kim J, Duchin Y, Sapiro G, Vitek J, Harel N. Clinical subthalamic nucleus prediction from high-field brain MRI. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society. 2015. p. 1264-1267. 7164104. (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2015.7164104
Kim, Jinyoung ; Duchin, Yuval ; Sapiro, Guillermo ; Vitek, Jerrold ; Harel, Noam. / Clinical subthalamic nucleus prediction from high-field brain MRI. 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, 2015. pp. 1264-1267 (Proceedings - International Symposium on Biomedical Imaging).
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