BrainK for Structural Image Processing: Creating Electrical Models of the Human Head
Joint Authors
Li, Kai
Papademetris, Xenophon
Tucker, Don M.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-16
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
BrainK is a set of automated procedures for characterizing the tissues of the human head from MRI, CT, and photogrammetry images.
The tissue segmentation and cortical surface extraction support the primary goal of modeling the propagation of electrical currents through head tissues with a finite difference model (FDM) or finite element model (FEM) created from the BrainK geometries.
The electrical head model is necessary for accurate source localization of dense array electroencephalographic (dEEG) measures from head surface electrodes.
It is also necessary for accurate targeting of cerebral structures with transcranial current injection from those surface electrodes.
BrainK must achieve five major tasks: image segmentation, registration of the MRI, CT, and sensor photogrammetry images, cortical surface reconstruction, dipole tessellation of the cortical surface, and Talairach transformation.
We describe the approach to each task, and we compare the accuracies for the key tasks of tissue segmentation and cortical surface extraction in relation to existing research tools (FreeSurfer, FSL, SPM, and BrainVisa).
BrainK achieves good accuracy with minimal or no user intervention, it deals well with poor quality MR images and tissue abnormalities, and it provides improved computational efficiency over existing research packages.
American Psychological Association (APA)
Li, Kai& Papademetris, Xenophon& Tucker, Don M.. 2016. BrainK for Structural Image Processing: Creating Electrical Models of the Human Head. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-25.
https://search.emarefa.net/detail/BIM-1099578
Modern Language Association (MLA)
Li, Kai…[et al.]. BrainK for Structural Image Processing: Creating Electrical Models of the Human Head. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-25.
https://search.emarefa.net/detail/BIM-1099578
American Medical Association (AMA)
Li, Kai& Papademetris, Xenophon& Tucker, Don M.. BrainK for Structural Image Processing: Creating Electrical Models of the Human Head. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-25.
https://search.emarefa.net/detail/BIM-1099578
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099578