These new data allow to extend the pediatric head models to account for:
- Inhomogeneous skull conductivity maps based on “painted” skulls with the Hounsfield units CT intensity patterns; and
- Anisotropic brain white matter conductivity by co-registering the average implanted brains from the set of average pediatric DTIs created by Carlo Pierpaoli’s group
Authorization Required to Download Atlases
Before downloading the atlases, you must complete and sign a Data Use Agreement to obtain access privileges to the restricted downloads. If you have already been authorized, login to access the data.
Please include your user name (not password) in the Data Use Agreement. Please also include in the Data Use Agreement your academic or corporate affiliation. Once you complete the Data Use Agreement, you will be contacted by return e-mail when access privileges are in place. At that point, upon logging in, you may download the head models.
The purpose of the data use agreement is to comply with the requirements of our Institutional Review Boards and to avoid infringement of existing US Patents. This is spelled out in the terms of the data use agreement.
- The package of the CT volumes for each atlas with the CT intensities in the Housfield units co-registered with each atlas in the same voxel space and compimented by Matlab scripts for uploading binaries into Matlab and Readme file.
A work to be cited when using this component of the data:Jidong Hou, Sergei Turovets, Kai Li, Phan Luu, Linda Larson-Prior, Don Tucker. Spatially Resolved Pediatric Skull Conductivities for Inhomogeneous Electrical Forward Modeling. OHBM 2017, Vancouver, BC, Canada, June 25-29, 2017.
- The package of the DTI group-average data volumes matching by age each atlas, co-registered with each atlas in the same voxel space and compimented by Matlab scripts for uploading binaries into Matlab and Readme file.
Works to be cited when using this component of the data:1. David Hammond, Nick Price, Sergei Turovets. Construction and segmentation of pediatric head tissue atlases for electrical head modeling. OHBM 2017, Vancouver, BC, Canada , June 25-29.
2. Walker, L., Chang, L.C., Nayak, A., Irfanoglu, M.O., Botteron, K.N. et al. (2016). The diffusion tensor imaging (DTI) component of the NIH MRI study of normal brain development (PedsDTI). NeuroImage, 124, 1125–1130.