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NeuroNavigator

Developed by Imeka: www

Developed by Imeka: www

NeuroNavigator

by imeka app
NeuroNavigator
NeuroNavigator
NeuroNavigator

What is it about?

Developed by Imeka: www.imeka.ca - the only company dedicated to white matter imaging and diffusion MRI. We've been developing tools since 2011 to look at white matter microstructure and connectivity to help cure brain disease.

NeuroNavigator

App Details

Version
1.0
Rating
NA
Size
166Mb
Genre
Education Medical
Last updated
February 22, 2019
Release date
February 21, 2019
More info

App Screenshots

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App Store Description

Developed by Imeka: www.imeka.ca - the only company dedicated to white matter imaging and diffusion MRI. We've been developing tools since 2011 to look at white matter microstructure and connectivity to help cure brain disease.

Visualize and interact with human brain white matter, gray matter, and vascular anatomy derived from cutting edge multi-modal human neuroimaging magnetic resonance imaging (MRI) datasets.

The app contains neuroimaging data from a 33 year old healthy human male brain including:

- 84 cortical areas based on gray matter segmentation of anatomical T1-weighted MRI image (T1)
- 24 subcortical areas, including ventricles and cerebellum segmented from anatomical T1
- 33 white matter pathways reconstructed using tractography from diffusion weighted MRI image (DWI)
- venous segmentation based on susceptibility weighted MRI image (SWI)
- arterial segmentation based on time of flight MRI image (TOF)
- functional connectivity based on blood oxygen level dependent (BOLD) functional MRI images

Cortical and subcortical regions of interest (ROIs) were segmented automatically using the Freesurfer software package:
https://www.sciencedirect.com/science/article/pii/S1053811912000389

White matter pathways were processed and automatically segmented using in-house software developed at Imeka, based on the following publication:
https://www.sciencedirect.com/science/article/pii/S1053811917305839

Venous and arterial segmentations were segmented automatically using in-house software developed at the University of Sherbrooke, based on the following publication:
https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.24337

All data was acquired with informed consent on a 3 Tesla Philips Ingenia MRI scanner at the Centre Hospitalaire Universite de Sherbrooke in Sherbrooke, Quebec, Canada.

Useful for learning about the anatomy of the brain.

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