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Test MS segmentation models in 3T 7T MP2RAGE from Marseille #74

@Nilser3

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@Nilser3

Model to test: model_seg_ms_mp2rage

release: r20230210

Preprocessing based on script: #63 (comment)

  • 3T MP2RAGE ( r = 0.9 x 0.9 x 0.9 )

Related in #63 (comment)

Example of automatic segmentation:
Gifs L 1

DICE Score values (N=40)

Continuous Dice Coefficient for "soft masks" based on this implementation and the Classic Dice between the GT and binarized masks (thresholding at 1/5 = 0.2) because we have 5 segmentation models.

image

Analysis of subjects with Dice = 0

Dice_0

7T MP2RAGE

  • isotropic images ( r = 0.7 x 0.7 x 0.7 )

Gifs L 2
Gifs L 3

  • isotropic images resampled to 1mm isotropic
    Gifs L 8
    Gifs L 9

  • anisotropic images (Same subject) ( r = 0.4 x 0.4 x 4 )
    Gifs L 11
    Gifs L 10

  • anisotropic images resampled to 1mm isotropic
    Gifs L 7
    Gifs L 6

subject with 3 lesions, 2 were segmented, one was not detected
image

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