Nile Univerity Mustafa A. Alattar Supervisors : Dr. Ahmed S. Fahmy Dr. 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