TY - GEN
T1 - Automatic Localization of Deep Stimulation Electrodes Using Trajectory-Based segmentation Approach
AU - Nieto, Roger Gomez
AU - David Echeverry-Correa, Julian
AU - Alvarez Meza, Andres Marino
AU - Darío Benitez-Restrepo, Hernán
AU - Gutierrez, Álvaro Orozco
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - In patients suffering from Parkinson's disease (PD), Deep Brain Stimulation (DBS) neurosurgery is the best alternative to medical treatment. This surgery produces a Volume of Tissue Activated (VTA) whose correct location in the brain depends on the precise position of the DBS electrodes. In this paper, we automatically locate DBS electrodes using a threshold-based medical imaging segmentation methodology, by determining the optimal value of this threshold adaptively. We propose a method for automatic segmentation of the DBS electrodes, which adjusts itself to the intensity and rotation parameters of each CT scan. This method includes the CT image registered with a delimited anatomical atlas, which allows the creation of a Region of Interest (ROI) fully adjustable to the anatomy of each patient. The proposed method allows the localization of DBS electrodes in Computed Tomography (CT) images, with an accuracy of 0.2 mm.
AB - In patients suffering from Parkinson's disease (PD), Deep Brain Stimulation (DBS) neurosurgery is the best alternative to medical treatment. This surgery produces a Volume of Tissue Activated (VTA) whose correct location in the brain depends on the precise position of the DBS electrodes. In this paper, we automatically locate DBS electrodes using a threshold-based medical imaging segmentation methodology, by determining the optimal value of this threshold adaptively. We propose a method for automatic segmentation of the DBS electrodes, which adjusts itself to the intensity and rotation parameters of each CT scan. This method includes the CT image registered with a delimited anatomical atlas, which allows the creation of a Region of Interest (ROI) fully adjustable to the anatomy of each patient. The proposed method allows the localization of DBS electrodes in Computed Tomography (CT) images, with an accuracy of 0.2 mm.
KW - Computed Tomography
KW - Medical Image Processing
UR - http://www.scopus.com/inward/record.url?scp=85068081886&partnerID=8YFLogxK
U2 - 10.1109/STSIVA.2019.8730260
DO - 10.1109/STSIVA.2019.8730260
M3 - Conference contribution
AN - SCOPUS:85068081886
T3 - 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
BT - 2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019
Y2 - 24 April 2019 through 26 April 2019
ER -