Presentation on theme: "Brain Images of Normal Subjects (BRAINS) Bank"— Presentation transcript:
1 Brain Images of Normal Subjects (BRAINS) Bank David Alexander DickieDr Dominic E. Job
2 Background Age and disease affect brain structure The effects are disparateMuch MRI data are needed~300 normal ageing (>60yrs) subjects“Atlases” of the aged brain are limited
3 BackgroundBrain Images of Normal Subjects (BRAINS) bank >1000 normal sbjs >60yrsBRAINS models and atlases calculate distributions (not assume)Data requires much image processingPilot ~200 normal, ~200 AD sjbs, years
12 ANTS diffeomorphic spatial normalisation But catastrophes still happen
13 ANTS diffeomorphic spatial normalisation ANTS takes ~1 hour per subject (computer)Still requires by slice checking~10 minutes checking per subject460 subjects took ~2.5 monthsCatastrophes still happen>1000 subjects in full-scale study
14 Data driven brain volume models Statistical models oft used in brain imagingThe general linear model (GLM)Assume data generation and distributionTransformations lose natural data, have risks, complexityImage banks support data driven models
19 Data driven brain voxel models Statistical voxel based morphometry (VBM)The general linear model (GLM)Assumes data generation and distributionTransformations lose natural data, smoothingImage banks support data driven models
29 Percentiles of grey matter density in a normal ageing and Alzheimer’s disease subject 5th25th50th75th95thAlzheimer’s disease has lowest percentiles of GM in MTL
30 Percentiles of grey matter density in a normal ageing and Alzheimer’s disease subject BadOKGoodAlzheimer’s disease has lowest percentiles of GM in MTL
31 Median percentile image of grey matter density in Alzheimer’s disease (n=49) and control (n=49) subjectsAlzheimer’sControlPercentile5th25th50th75th95thAlzheimer’s has lowest percentiles of GM across the cortex, specifically hippocampus.
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