Details
A major module in CHeBA NiL Software (CNS) is UBO Detector, a fully automated, cluster-based toolbox for segmenting white matter hyperintensities (WMH). T1-weighted and T2-weighted FLAIR images are used as input. The performance of UBO Detector has been validated and published in NeuroImage.
The TOolbox for Probabilistic MApping of Lesions (TOPMAL) was developed as an extension of UBO Detector. It can map cerebral small vessel disease (CSVD)-related lesions to Johns Hopkins University White Matter Tractography Atlas or Harvard-Oxford Subcortical Atlas to examine regional lesions. A study using TOPMAL has been published in NeuroImage: Clinical.
There are other pipelines being developed, and they will be included in CNS in the future.
- Developer
- Jiyang Jiang
- Lesion Type
- Cerebral microbleeds, Lacune, White matter hyperintensity
- Image Type
- FLAIR, MRI, T1
- Website
- https://cheba.unsw.edu.au/group/neuroimaging-pipeline
Additional Information
- DOI Citation
- Pubmed Citation
- Whitepaper
- https://cheba.unsw.edu.au/group/neuroimaging-pipeline
- Dependencies
- MATLAB, SPM12, FSL
- Availability
- Download
- Academic Use
- Free
- Commercial Use
- At Cost
- Development Status
- Stable
- Ongoing Support
- Yes
- Source Type
- Open Source
- Validation Status
- 2+ Independent Sample
- Automation
- Fully automated
- Intended Population
- Larger samples
- FAQ Link
- https://cheba.unsw.edu.au/group/neuroimaging-pipeline