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Brain Images of Normal Subjects (BRAINS) Bank David Alexander Dickie Dr Dominic E. Job.

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Presentation on theme: "Brain Images of Normal Subjects (BRAINS) Bank David Alexander Dickie Dr Dominic E. Job."— Presentation transcript:

1 Brain Images of Normal Subjects (BRAINS) Bank David Alexander Dickie Dr Dominic E. Job

2 Background Age and disease affect brain structure The effects are disparate Much MRI data are needed ~300 normal ageing (>60yrs) subjects Atlases of the aged brain are limited

3 Background Brain Images of Normal Subjects (BRAINS) bank >1000 normal sbjs >60yrs BRAINS models and atlases calculate distributions (not assume) Data requires much image processing –Pilot ~200 normal, ~200 AD sjbs, years

4 MR Image processing

5 Brain extraction

6 Brain Extraction Tool (BET) commonly used

7 Brain extraction Brain Extraction Tool (BET) commonly used

8 Template based brain extraction Advanced Normalization Tools (ANTS) Uses diffeomorphic (super nonlinear) spatial normalisation

9 Image registration

10 ANTS diffeomorphic spatial normalisation

11

12 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 subject 460 subjects took ~2.5 months Catastrophes still happen >1000 subjects in full-scale study

14 Data driven brain volume models Statistical models oft used in brain imaging –The general linear model (GLM) Assume data generation and distribution Transformations lose natural data, have risks, complexity Image banks support data driven models

15 Brains are heteroscedastic

16 See, theyre different

17 Data driven vs. general models DDPM has ~65% less error

18

19 Data driven brain voxel models Statistical voxel based morphometry (VBM) –The general linear model (GLM) Assumes data generation and distribution Transformations lose natural data, smoothing Image banks support data driven models

20 BRAINS atlases BRAINS MNI 152

21 Image registration

22 1 0 BRAINS atlases

23 AlzheimersNormal Red=95 th

24

25

26 White matter lesions

27 A Percentile

28 A White matter lesions

29 Percentiles of grey matter density in a normal ageing and Alzheimers disease subject AlzheimersNormal Alzheimers disease has lowest percentiles of GM in MTL 5 th 95 th 50 th 25 th 75 th Percentile

30 Bad OK Good Percentiles of grey matter density in a normal ageing and Alzheimers disease subject AlzheimersNormal Alzheimers disease has lowest percentiles of GM in MTL

31 AlzheimersControl 5 th 95 th 50 th 25 th 75 th Percentile Median percentile image of grey matter density in Alzheimers disease (n=49) and control (n=49) subjects Alzheimers has lowest percentiles of GM across the cortex, specifically hippocampus.

32 BRAINS vs. VBM

33 Needs data Less assumptions Anatomical resolution Specific anatomy Individuals Size of differences Simpler

34 SINAPSE SPIRIT, MRC, Tony Watson Thank you


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