Nile UniverityMustafa A. Alattar

Supervisors: Dr. Ahmed S. FahmyDr. Nael F. Osman

MyoCardial Segmentation Importance & Objectives

LV Inner-Wall Segmentation Stand Alone Methods Proposed Hybrid Technique Results

LV Outer-Wall Segmentation Problems of application of the Proposed Technique Proposed Solution + Refinement Results

Future Work

Provide highly accurate and reproducible measures of  Ventricular volumes Regional function Ejection fraction Wall thickness and wall thickening Generation of accurate functional

images

Automatic extraction of inner and outer wall in short and long axes images.

Method1 : Active Contour Model (ACM)

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)

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)

Advantage: takes short time in comparison with active contour(ACM)

Disadvantage: does not preserve spatial smoothing properties

Proposed Hyprid Technique

Results

Applying the previous solution has problems

Proposed Solution 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

Our Final result of Region Growing using ORS

Refinement :

Results

Segmentation of Epi/Endo-cardium of long axis images

Thanks