Transcript Cardiac Segmentation

Nile Univerity
Mustafa A. Alattar
Supervisors :
Dr. Ahmed S. Fahmy
Dr. Nael F. Osman
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MyoCardial Segmentation Importance & Objectives
LV Inner-Wall Segmentation
 Stand Alone Methods
 Proposed Hybrid Technique
 Results
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LV Outer-Wall Segmentation
 Problems of application of the Proposed Technique
 Proposed Solution + Refinement
 Results
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Future Work
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Provide highly accurate and reproducible
measures of
 Ventricular volumes
 Regional function
 Ejection fraction
 Wall thickness and wall thickening
 Generation of accurate functional images
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Automatic extraction of inner and outer wall
in short and long axes images.
Method1 : Active Contour Model (ACM)
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Requires the minimization of the
summation of 3 forms of energy:
 Elasticity Energy
 Curvature Energy
 External Energy (related to the image;
e.g. the edge or gradient)
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Drawbacks of using ACM
 Takes a long time because the big number of
iteration needed to reach stability
 Needs expertise to assign the energies’ coefficients
Advantage: Preserving the smoothness of the
contour
Method2 : Region Growing (RG)
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Advantage: takes short time in comparison with
active contour(ACM)
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Disadvantage: does not preserve spatial smoothing
properties
Proposed Hyprid Technique
Results
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Applying the previous solution has problems
Proposed Solution
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Our target is to reduce of the threshold value of the region
growing algorithm.
Apply the region growing in an efficient way using the
reduced threshold value inside Overlapped Rotating Sectors
.
Proposed Solution
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Our Final result of Region Growing using ORS
Refinement :
160
60
-40 0
2
4
40
20
0
0
40
20
0
0
2
4
2
4
Results
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Segmentation of Epi/Endo-cardium of long
axis images
Thanks