Segmentation and Annotation - mipav

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Fuzzy C-means T1 – MRI Hard segmentation – G,W,CSF Fuzzy Gray Fuzzy White Fuzzy CSF 62
<strong>Segmentation</strong> Evaluation • Compared to ground truth VOI • Requires converting masks to VOIs 63
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http://mipav.cit.nih.gov 1
Page 3 and 4:
MIPAV Team Employees Ruida Cheng Wi
Page 5 and 6:
Review • MIPAV as collaboration t
Page 7 and 8: - VOI (Volume of interest) - Defini
Page 9 and 10: Annotation • Save names and notes
Page 11 and 12: Line • Right click to show option
Page 13 and 14: Square • Start with any corner, d
Page 15 and 16: Polyline/polygon • Shape can be o
Page 17 and 18: Livewire • Larger changes in magn
Page 19 and 20: Split • Splits into same VOI, dif
Page 21 and 22: Quiz • Manual VOI change using AL
Page 23 and 24: Cut/Copy/Paste • Cut - delete, st
Page 25 and 26: And • Default is in place 26
Page 27 and 28: Evolve Boundary • Active contour
Page 29 and 30: Break 32
Page 31 and 32: Create new mask 34
Page 33 and 34: Conversion VOI menu options 36
Page 35 and 36: Morphology 38
Page 37 and 38: Mathematical Morphology Opening Sou
Page 39 and 40: Mathematical Morphology Noise Remov
Page 41 and 42: Paint Defined on masks 44
Page 43 and 44: Advanced Paint 46
Page 45 and 46: Erasers 49
Page 47 and 48: Paint brush options • Brush size
Page 49 and 50: Mask options • Just like VOI mask
Page 51 and 52: Calculate volume • Units of image
Page 53 and 54: Segmentation 57
Page 55 and 56: Watershed Segmentation Dam I(x) I G
Page 57: Voxel Classification •Groups of v
Page 61: Thank you! 65
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Segmentation and Annotation - mipav

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