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Segmentation

Anatomical model

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Anatomical model. This model was used by the MRI Simulator to generate the MRI data sets with different noise levels.



Segmentation results

ML Clusterer

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MRI data sets with 3%, 5%, 7% and 9% noise.

Segmented image

Variance image (of the segmented image)

Variance image of the anatomical model

MAP Algorithm

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MRI data sets with 3%, 5%, 7% and 9% noise.

Segmented image

Variance image (of the segmented image)

Variance image of the anatomical model

Validation

ML Clusterer

Overall Error Diagram for 3% Noise MRI

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x-axis: number of segmented features; y-axis: error rate (and variance from 50 segmentation results).



Overall Error Diagram for 5% Noise MRI

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x-axis: number of segmented features; y-axis: error rate (and variance from 50 segmentation results).


Overall Error Diagram for 7% Noise MRI

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x-axis: number of segmented features; y-axis: error rate (and variance from 50 segmentation results).


Overall Error Diagram for 9% Noise MRI

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x-axis: number of segmented features; y-axis: error rate (and variance from 50 segmentation results).

MAP Algorithm



Mutual Information Diagram for 3% Noise MRI

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x-axis: Gibbs potential ß; y-axis: Mutual Information (and variance from 50 segmentation results)


Mutual Information Diagram for 5% Noise MRI

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x-axis: Gibbs potential ß; y-axis: Mutual Information (and variance from 50 segmentation results)


Mutual Information Diagram for 7% Noise MRI

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x-axis: Gibbs potential ß; y-axis: Mutual Information (and variance from 50 segmentation results)


Mutual Information Diagram for 9% Noise MRI

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x-axis: Gibbs potential ß; y-axis: Mutual Information (and variance from 50 segmentation results)



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file last modified: Friday, 26-Feb-2016 12:34:25 CET
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