IEEE J Biomed Health Inform - Automatic classification of intracardiac tumor and thrombi in echocardiography based on sparse representation.

Tópicos

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Resumo

Identification of intracardiac masses in echocardiograms is one important task in cardiac disease diagnosis. To improve diagnosis accuracy, a novel fully automatic classification method based on the sparse representation is proposed to distinguish intracardiac tumor and thrombi in echocardiography. First, a region of interest is cropped to define the mass area. Then, a unique globally denoising method is employed to remove the speckle and preserve the anatomical structure. Subsequently, the contour of the mass and its connected atrial wall are described by the K-singular value decomposition and a modified active contour model. Finally, the motion, the boundary as well as the texture features are processed by a sparse representation classifier to distinguish two masses. Ninety-seven clinical echocardiogram sequences are collected to assess the effectiveness. Compared with other state-of-the-art classifiers, our proposed method demonstrates the best performance by achieving an accuracy of 96.91%, a sensitivity of 100%, and a specificity of 93.02%. It explicates that our method is capable of classifying intracardiac tumors and thrombi in echocardiography, potentially to assist the cardiologists in the clinical practice.

Resumo Limpo

identif intracardiac mass echocardiogram one import task cardiac diseas diagnosi improv diagnosi accuraci novel fulli automat classif method base spars represent propos distinguish intracardiac tumor thrombi echocardiographi first region interest crop defin mass area uniqu global denois method employ remov speckl preserv anatom structur subsequ contour mass connect atrial wall describ ksingular valu decomposit modifi activ contour model final motion boundari well textur featur process spars represent classifi distinguish two mass ninetyseven clinic echocardiogram sequenc collect assess effect compar stateoftheart classifi propos method demonstr best perform achiev accuraci sensit specif explic method capabl classifi intracardiac tumor thrombi echocardiographi potenti assist cardiologist clinic practic

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