Projects per year
Abstract / Description of output
Multifocal basal ganglia T2*-weighted (T2*w) hypointensities, which are believed to arise mainly from vascular mineralization, were recently proposed as a novel MRI biomarker for small vessel disease and ageing. These T2*w hypointensities are typically segmented semi-automatically, which is time consuming, associated with a high intra-rater variability and low inter-rater agreement. To address these limitations, we developed a fully automated, unsupervised segmentation method for basal ganglia T2*w hypointensities. This method requires conventional, co-registered T2*w and T1-weighted (T1w) volumes, as well as region-of-interest (ROI) masks for the basal ganglia and adjacent internal capsule generated automatically from T1w MRI. The basal ganglia T2*w hypointensities were then segmented with thresholds derived with an adaptive outlier detection method from respective bivariate T2*w/T1w intensity distributions in each ROI. Artefacts were reduced by filtering connected components in the initial masks based on their standardised T2*w intensity variance and appearance on T1w MRI. The segmentation method was validated using a custom-built phantom containing mineral deposit models, i.e. gel beads doped with 3 different contrast agents in 7 different concentrations, as well as with MRI data from 98 community-dwelling older subjects in their seventies with a wide range of basal ganglia T2*w hypointensities. The method produced basal ganglia T2*w hypointensity masks that were in substantial volumetric and spatial agreement with those generated by an experienced rater (Jaccard index = 0.62 ± 0.40). These promising results suggest that this method may have use in automatic segmentation of basal ganglia T2*w hypointensities in studies of small vessel disease and ageing.
Original language | English |
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Pages (from-to) | 332-346 |
Number of pages | 15 |
Journal | NeuroImage |
Volume | 105 |
Early online date | 14 Oct 2014 |
DOIs | |
Publication status | Published - 15 Jan 2015 |
Keywords / Materials (for Non-textual outputs)
- Magnetic resonance imaging (MRI)
- Basal ganglia
- Mineralization
- Ageing
- Focal T2*-weighted MRI hypointensities
- Automated segmentation
- Outlier detection
- MAGNETIC-RESONANCE
- BRAIN IRON
- TRANSVERSE RELAXATION
- IMAGES
- ROBUST
- AGE
- BIRTH
- MINERALIZATION
- OPTIMIZATION
- DEPOSITS
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Dive into the research topics of 'Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities'. Together they form a unique fingerprint.Projects
- 8 Finished
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RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.
Deary, I., Gale, C., Holmes, M., Logie, P., Maclullich, A., Porteous, D., Seckl, J., Starr, J., Wardlaw, J. & Okely, J.
1/09/13 → 31/08/19
Project: Research
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Brain White mater imaging and cognitive ageing in the Lothian Birth Cohort of 1936:II
Deary, I., Bastin, M., Penke, L., Starr, J. & Wardlaw, J.
8/06/11 → 7/03/15
Project: Research
Profiles
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Maria Valdes Hernandez
- Deanery of Clinical Sciences - Lecturer in Medical Image Analysis
- Centre for Clinical Brain Sciences
- Edinburgh Neuroscience
- Edinburgh Imaging
- Small Vessel Disease Research
Person: Academic: Research Active , Academic: Research Active (Research Assistant)