Abstract
Problem statement: Medical image analysis is a particularly difficult problem because the inherent characteristics of these images, including low contrast, speckle noise, signal dropouts and complex anatomical structures. An accurate analysis of wall motion in Two-dimensional echocardiography images is important clinical diag nosis parameter for many cardiovascular diseases. A challenge most researchers faced is ho w to speed up the clinical decisions and reduce human error of estimating accurately the true wall movements boundaries if can be done automatically will be a useful tool for assessing these diseases qualitatively and quantitatively. Approach: The proposed method involves three stages: First, the p re-processing stage for image contrast enhancement to reduce speckle-noise and to highlight certain fe atures of interest (i.e., myocardial tissue). In th e second stage, we applied the segmentation process u sing thresholding technique by considering a mean value of pixels intensity as a threshold value to d istinct image features (e.g., Background and object ). After thresholding implementation, the two most common mathematical morphology operators 'erosion' and 'dilation' are applied to improve the efficiency of the wall boundary detection process. Finally, Robert's operator is used as edge detector to identify the wall boundaries. Results: For accuracy measurement, the experimental results of t he proposed method are compared to that obtained from medical QLab system qualitatively and quantitatively. Conclusion: The results showed that our proposed method is reliable and its performance acc uracy percentages are 50% more acceptable and 42% better than QLab system results.
Highlights
Two-dimensional echocardiography is a powerful tool for the diagnosis most of heart diseases that allow a qualitative understanding for heart morphology and function by direct visual observation of cardiac structure and movement
Total numbers of frames for all videos are 409.The second set was used for comparison process which contains the same 12 videos but with complete borders that is one of the options in QLab system
This decision is represented as a score which is given as follows: 1: Proposed Method (PM) is worse than QLab System (QS), 2: PM is similar to QS, 3: PM is more acceptable than QS and 4: PM is better than QS
Summary
Two-dimensional echocardiography is a powerful tool for the diagnosis most of heart diseases that allow a qualitative understanding for heart morphology and function by direct visual observation of cardiac structure and movement. The basic goal in our work is to detect true boundaries of the heart wall movements automatically through the complete cardiac cycle in order to assist the specialist in the assessment of common cardiac diseases. Some clinical parameters can be evaluated qualitatively and quantitatively measurements of Left Ventricle (LV), Right Ventricle (RV), Left Atrium (LA), Right Atrium. Efficient and accurate boundaries detection of wall motion from echocardiography images has become a major research interest, which essentially requires several methods of image analysis
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