research data . Dataset . 2019

Vascular Territory template and atlases in MNI space

Schirmer, Markus D; Giese, Anne-Katrin; Fotiadis, Panagiotis; Etherton, Mark R; Cloonan, Lisa; Viswanathan, Anand; Greenberg, Steven M; Wu, Ona; Rost, Natalia S;
Open Access English
  • Published: 19 Mar 2019
  • Publisher: Zenodo
Abstract
<p><strong>Data</strong></p> <p>Sixteen subjects (mean age (sd): 69.6 (8.2); 37.5% female) were recruited to generate a high-resolution template. The cohort consists of twelve stroke-free, non-demented patients with the sporadic form of cerebral amyloid angiopathy (CAA), and similarly-aged healthy controls (n=4). Each participant underwent high-resolution MRI&nbsp;with a Siemens Magnetom Prisma 3T scanner (using a 32-channel head coil) as part of a separate study. The standardized protocol included a Multiecho T1-weighted (voxel size: 1x1x1 mm<sup>3</sup>; Repetition Time [TR]: 2510 ms), a 3D-FLAIR (voxel size: 0.9x0.9x0.9 mm<sup>3</sup>; TR: 5000 ms; TE: 356 ms...
Subjects
free text keywords: Brain, template, vascular territories, anterior, posterior, middle, cerebral artery, ACA, PCA, MCA, MNI, T1, T2, FLAIR
Funded by
EC| ARTEMIS
Project
ARTEMIS
Assessment of Reserve: Translational Evaluation of Medical Images and Statistics - Prediction models for outcomes of brain health
  • Funder: European Commission (EC)
  • Project Code: 753896
  • Funding stream: H2020 | MSCA-IF-GF
Communities
Neuroinformatics
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Dataset . 2019
Provider: Datacite
Zenodo
Dataset . 2019
Provider: Zenodo
Zenodo
Dataset . 2019
Provider: Datacite
Zenodo
Dataset . 2019
Provider: Datacite
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