Int J Comput Assist Radiol Surg - Endocardial boundary extraction in left ventricular echocardiographic images using fast and adaptive B-spline snake algorithm.

Tópicos

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Resumo

RPOSE: A fast and robust algorithm was developed for automatic segmentation of the left ventricular endocardial boundary in echocardiographic images. The method was applied to calculate left ventricular volume and ejection fraction estimation.METHODS: A fast adaptive B-spline snake algorithm that resolves the computational concerns of conventional active contours and avoids computationally expensive optimizations was developed. A combination of external forces, adaptive node insertion, and multiresolution strategy was incorporated in the proposed algorithm. Boundary extraction with area and volume estimation in left ventricular echocardiographic images was implemented using the B-spline snake algorithm. The method was implemented in MATLAB and 50 medical images were used to evaluate the algorithm performance. Experimental validation was done using a database of echocardiographic images that had been manually evaluated by experts.RESULTS: Comparison of methods demonstrates significant improvement over conventional algorithms using the adaptive B-spline technique. Moreover, our method reached a reasonable agreement with the results obtained manually by experts. The accuracy of boundary detection was calculated with Dice's coefficient equation (91.13%), and the average computational time was 1.24 s in a PC implementation.CONCLUSION: In sum, the proposed method achieves satisfactory results with low computational complexity. This algorithm provides a robust and feasible technique for echocardiographic image segmentation. Suggestions for future improvements of the method are provided.

Resumo Limpo

rpose fast robust algorithm develop automat segment left ventricular endocardi boundari echocardiograph imag method appli calcul left ventricular volum eject fraction estimationmethod fast adapt bspline snake algorithm resolv comput concern convent activ contour avoid comput expens optim develop combin extern forc adapt node insert multiresolut strategi incorpor propos algorithm boundari extract area volum estim left ventricular echocardiograph imag implement use bspline snake algorithm method implement matlab medic imag use evalu algorithm perform experiment valid done use databas echocardiograph imag manual evalu expertsresult comparison method demonstr signific improv convent algorithm use adapt bspline techniqu moreov method reach reason agreement result obtain manual expert accuraci boundari detect calcul dice coeffici equat averag comput time s pc implementationconclus sum propos method achiev satisfactori result low comput complex algorithm provid robust feasibl techniqu echocardiograph imag segment suggest futur improv method provid

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