medical image processing, analysis and visualization...
TRANSCRIPT
![Page 1: Medical Image Processing, Analysis and Visualization (MIPAV)mipav.cit.nih.gov/documentation/presentations/SegAnno.pdf · Biomedical Image Processing Research Services Section Center](https://reader033.vdocuments.net/reader033/viewer/2022050218/5f645b874e63077578454144/html5/thumbnails/1.jpg)
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http://mipav.cit.nih.gov
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Segmentation and Annotation of Medical
Images with MIPAV
Justin Senseney
dcb.cit.nih.gov/~senseneyj
Biomedical Image Processing Research Services Section
Center for Information Technology
mipav.cit.nih.gov
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MIPAV Team
Employees
Ruida Cheng
William Gandler
Matthew McAuliffe
Evan McCreedy
Justin Senseney
Fellows
Sara Shen
Contractors
Alexandra Bokinsky, Geometric Tools Inc. (Visualization)
Olga Vovk, SRA International Inc. (Technical Writing)
Alumni
Paul Hemler, Agatha Munzon, Nishith Pandya,
Beth Tyriee, Hailong Wang
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– Review
– VOI
– Creation
– Manipulation
– Masks
– Creation
– Conversion
– Morphological operators (2D and 3D)
– Paint
– Creation
– Fill
– Segmentation
– Fuzzy C-means
– Level set
– Thresholding
– Watershed
– Histogram
– Equalization and matching
Agenda
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Review
• MIPAV as collaboration tool
• Opens all image formats
• Scriptable
• Quantitative and qualitative
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VOI Volume of interest
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– VOI (Volume of interest)
– Definition
– Creation
– Annotations
– Points
– Lines
– Curves
– Cube
– Manipulation
– Split
– Undo/Redo
– Cut/Copy/Paste
– Propagation
Agenda
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– Volume of interest – one or more contours on an image
VOI
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• Save names and notes
• Place in text location, move arrow
Annotation
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Point
• Shift for multiple points
• Delete removes, renumbers to keep consecutive
• Can move
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Line • Right click to show options
• Intensity plot from green point
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Protractor • Initial point is
intersection of two lines
• Draw outwards
• Re-click to
orient angle
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Square • Start with any corner, drag in any direction
• To modify, click a point, becomes “active” VOI.
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Circle • Start at circle center
• Drag entire shape
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Polyline/polygon • Shape can be open
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Levelset • Looks for closest intensity value
• Topographic map
• Once active, alt+hold down mouse
to modify boundary.
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Livewire • Larger changes in magnitude with smaller distance.
• Minimum cost
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Cube • “0” is always the initial curve
• Numbering does not indicate slice
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Split • Splits into same VOI, different contour
• Each contour is closed
• Multiple VOIs split
• Multiple contours split
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New VOI • Open/closed VOIs cannot be combined
• Statistics
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Quiz • Manual VOI change using ALT+hold down mouse. Which
direction is required?
• A. clockwise
• B. counter-clockwise
Answer: Both, but choose
one each time
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Undo/Redo • Applies to VOI operations only
• Keyboard shortcut: Ctrl+Z (Undo), Ctrl+Y (Redo)
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Cut/Copy/Paste • Cut – delete, store to paste
• Copy – store to paste
• Paste – Place active VOI in current slice of active image
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Propagate • Down one slice
• Up one slice
• To all slices
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And • Default is in place
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Fill • Fills with zeros
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Evolve Boundary • Active contour
• Combine with propagation to adjacent slices
• Small Gaussian sensitive to noise
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Interpolate • Define contours on non-contiguous slices
• Contours part of same VOI
• Must be selected
Slice 86 Slice 89 Slice 95
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Break
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Mask Defined on pixels
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Create new mask
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Open/Save mask
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VOI menu options
Conversion
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AND Mask operation
Performs actual conversion
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Morphology
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Mathematical Morphology
• Erosion
• Dilation
• Opening
• Closing
• Distance maps
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Mathematical Morphology
Opening Structuring Element
Erosion
Dilation
Result: Erosion + Dilation = Opening
0 1 0
1 1 1
0 1 0
Source object
2D 3x3 structuring element
0 1 0
1 1 1
0 1 0
0 0 0
0 1 0
0 0 0
0 0 0
0 1 0
0 0 0
3D 3x3x3 structuring element
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Mathematical Morphology
Closing Structuring Element
Dilation
Erosion Result: Dilation + Erosion = Closing
Source object
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Mathematical Morphology
Noise Removal
Input
Erode
Closing
Result
Dilate
Opening
Erode
Original boundary
Dilate
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Distance transform
Object distance - minimum Euclidian distance
from any edge to a point interior to the object
Background distance - minimum Euclidian distance
from any edge to a point exterior to the object (i.e. background)
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Paint Defined on masks
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Brush
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Advanced Paint
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Region Grow
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Erasers
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Propagation • Same as VOI options
• No active contour solution
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Paint brush options • Brush size
• Brush pattern
• Brush intensity
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Paint display options • Select color
• Change opacity
• Show border
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Mask options • Just like VOI mask options, another conversion tool
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Undo paint • Only applies to paint
• Does not change masks
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Calculate volume • Units of image
• Resolution of image
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Power paint tools
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Segmentation
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Watershed Segmentation
• Watersheds are a classic field of topography.
• Example of a watershed: Great Divide of the U.S.
– A drop of water falling one side flows down until it reaches
the Atlantic ocean, whereas a drop falling on the other end
flows until it reaches the Pacific ocean.
• The above two watersheds or catchment basins are
separated by what is termed the watershed line.
– Catchment basins: minima of the watershed
– Watershed line: maxima of the watershed
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Watershed Segmentation
I(x)
IGM(x)
Catchment basins
Watershed “lines”
• Find the lowest point in each basin and
begin “flooding”.
• When two basins meet a watershed
point (1D) is identified and a dam is
formed.
• Continue flooding until all basins and
watershed points are formed.
• Note: this method can produce over
segmentations.
Dam
Gradient magnitude
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Watershed Segmentation: Interactive
• Find the lowest point in each basin
identified by a Region of Interest
(ROI) and force the gradient
magnitude to zero at all ROIs. Begin
“flooding” in those regions.
• When two basins meet a watershed
line (2D) is identified and a dam is
formed.
• Continue flooding until all ROI
basins until all regions are flooded.
MRI image with ROIs
Segmented basins
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Voxel Classification
•Groups of voxels are not physically connected then the segmentation
technique is termed voxel classification and voxels sets are referred
to as classes
•Cluster methods do not inherently incorporate spatial information and
therefore can be sensitive to factors like intensity inhomogeneities.
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Fuzzy C-means
Fuzzy Gray Fuzzy White Fuzzy CSF
Hard segmentation – G,W,CSF T1 – MRI
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Segmentation Evaluation
• Compared to ground truth VOI
• Requires converting masks to VOIs
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Acknowledgments
• Images from NCI’s Cancer Imaging Archive:
http://cancerimagingarchive.net/
• Examples from NIH collaborators.
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Thank you!