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1.
Fig. 2

Fig. 2. From: Automatic morphometry in Alzheimer's disease and mild cognitive impairment.

Age distribution of included subjects.

Rolf A. Heckemann, et al. Neuroimage. 2011 Jun 15;56(4-2):2024-2037.

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2.
Fig. 3

Fig. 3. From: Automatic morphometry in Alzheimer's disease and mild cognitive impairment.

Density plot of white-matter hypointensities index (WMHI) on 996 images.

Rolf A. Heckemann, et al. Neuroimage. 2011 Jun 15;56(4-2):2024-2037.

CitationFull text

3.
Fig. 6

Fig. 6. From: Automatic morphometry in Alzheimer's disease and mild cognitive impairment.

Summed volume of gray matter portions of labeled regions, comparison by diagnosis groups, 1.5 T images. Left: absolute volumes in mm3, right: normalized by ICV and scaled (arbitrarily) by 104.

Rolf A. Heckemann, et al. Neuroimage. 2011 Jun 15;56(4-2):2024-2037.

CitationFull text

4.
Fig. 4

Fig. 4. From: Automatic morphometry in Alzheimer's disease and mild cognitive impairment.

Scatter plot of white-matter hypointensities index (WMHI, log-scaled axis) versus the Wahlund score assigned by the rater on 70 images. WMHI scores of zero are shown as half disks on the left edge of the plot.

Rolf A. Heckemann, et al. Neuroimage. 2011 Jun 15;56(4-2):2024-2037.

CitationFull text

5.
Fig. 5

Fig. 5. From: Automatic morphometry in Alzheimer's disease and mild cognitive impairment.

Comparison of intracranial volumes by diagnosis groups, 1.5 T images. Center line shows median, boxes capture 25%–75% quantile range, whiskers indicate 1.5 interquartile range, dots denote outliers. ICV unit is .

Rolf A. Heckemann, et al. Neuroimage. 2011 Jun 15;56(4-2):2024-2037.

CitationFull text

6.
Fig. 9

Fig. 9. From: Automatic morphometry in Alzheimer's disease and mild cognitive impairment.

Boxplot showing group differences of asymmetry index for selected regions. The difference between AD and HS is highly significant for each of the regions shown (p < 10− 4); the difference between s-MCI and p-MCI is significant (p < 0.05) for the shown regions except thalamus and parietal lobe. Cf. for abbreviations.

Rolf A. Heckemann, et al. Neuroimage. 2011 Jun 15;56(4-2):2024-2037.

CitationFull text

7.
Fig. 7

Fig. 7. From: Automatic morphometry in Alzheimer's disease and mild cognitive impairment.

Summed label volumes per superregion, normalized and scaled by 104. Gray matter masking applied where appropriate (all except CS, PF and VS). TL: temporal lobe, FL: frontal lobe, PL: parietal lobe, OL: occipital lobe, IC: insula and corpus callosum, PF: posterior fossa, CS: central structures, VS: ventricular system.

Rolf A. Heckemann, et al. Neuroimage. 2011 Jun 15;56(4-2):2024-2037.

CitationFull text

8.
Fig. 1

Fig. 1. From: Automatic morphometry in Alzheimer's disease and mild cognitive impairment.

Transverse section through the image of a healthy subject (73 year-old male, image ID I90026). Left panel: T1-weighted MR image. Middle panel: result of tissue classification with FAST; probability maps for each tissue class are combined into a single multi-spectral volume. Right panel: segmentation generated with MAPER. To create an accurate impression of the original resolution, the figure has been rendered without interpolation.

Rolf A. Heckemann, et al. Neuroimage. 2011 Jun 15;56(4-2):2024-2037.

CitationFull text

9.
Fig. 8

Fig. 8. From: Automatic morphometry in Alzheimer's disease and mild cognitive impairment.

Heatmap showing per-region results of unpaired two-tailed t-tests between selected pairings of diagnosis groups. P-values are mapped to colors so that the “most significant” results for each column are highlighted in red. Each column is color-scaled independently. R: right, L: left, ant: anterior, amb: ambiens, temp: temporal, med: medial, lat: lateral, sup: superior, post: posterior, inf: inferior, g: gyrus, gg: gyri, l: lobe, frt: frontal, rem: remainder; superregion abbreviations as in .

Rolf A. Heckemann, et al. Neuroimage. 2011 Jun 15;56(4-2):2024-2037.

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