Segmentation Algorithm

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Presentation transcript:

Segmentation Algorithm What is LIGASE….?!

25 weeks 30 weeks term adult WM non-uniformity Contrast Changes CSF WM GM WM non-uniformity Contrast Changes Brain Size Partial Voluming

30 weeks CSF WM GM noise CSF WM GM noise 37 weeks

Methods: Segmentation ? ? ? ? ? ? ? ? ?

LIGASE GM WM P = Ae - (x- m)2 / 2 s2 CSF WM min WM max WM mean

LIGASE ? reference voxel (Rv) test voxel (Tv) Gradient Difference Probability For Tv calculate 1. Gradient 2. Intensity difference from Rv 3. WM Probability based on Intensity Use probability to set 1. Gradient cutoff value 2. Intensity difference cutoff value Difference Cutoff Gradient Cutoff Based on Cutoff value allow Tv to be 1. segmented and left for free growth 2. segmented and labeled for restricted growth 3. not segmented Segmentation Decision

LIGASE - (x- m)2 / 2 s2 P = Ae GM WM CSF min max mean WM mean WM min WM max mean

LIGASE Decreasing values of WM min

LIGASE+ CSF WM GM noise GM / noise GM WM CSF GM or WM WM / CSF CSF

Initial Classification Final Classification Anatomy Initial Classification Final Classification noise GM / noise GM GM / WM WM WM / CSF CSF unknown GM / CSF

Anatomy LIGASE LIGASEplus

Fin