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Segmentation Algorithm

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Presentation on theme: "Segmentation Algorithm"— Presentation transcript:

1 Segmentation Algorithm
What is LIGASE….?!

2 25 weeks 30 weeks term adult WM non-uniformity Contrast Changes
CSF WM GM WM non-uniformity Contrast Changes Brain Size Partial Voluming

3

4 30 weeks CSF WM GM noise CSF WM GM noise 37 weeks

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

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

7 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

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

9 LIGASE Decreasing values of WM min

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

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

12 Anatomy LIGASE LIGASEplus

13

14 Fin


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