RECOD research group had a paper accepted on Elsevier Journal of Computers in Biology and Medicine. The paper is one of the results of a partnership of RECOD and SAMSUNG Advanced Technologies Group.
Echocardiography plays an important role aiding cardiologists in heart analysis, from which different anatomical aspects of the heart structures are checked. The paper proposes an efficient and effective approach for heart view classification, which is experimentally proved to be robust to the different classifiers, being suitable for use under several different conditions.
The paper, “Mid-level image representations for real-time heart view plane classification of echocardiograms” is already available online at Elsevier. Here’s the abstract :
In this paper, we explore mid-level image representations for real-time heart view plane classification of 2D echocardiogram ultrasound images. The proposed representations rely on bags of visual words, successfully used by the computer vision community in visual recognition problems. An important element of the proposed representations is the image sampling with large regions, drastically reducing the execution time of the image characterization procedure. Throughout an extensive set of experiments, we evaluate the proposed approach against different image descriptors for classifying four heart view planes. The results show that our approach is effective and efficient for the target problem, making it suitable for use in real-time setups. The proposed representations are also robust to different image transformations, e.g., downsampling, noise filtering, and different machine learning classifiers, keeping classification accuracy above 90%. Feature extraction can be performed in 30 fps or 60 fps in some cases. This paper also includes an in-depth review of the literature in the area of automatic echocardiogram view classification giving the reader a through comprehension of this field of study.
Also, ScienceDirect is making the paper freely available until November 4, 2015
Otávio A.B. Penatti, Rafael de O. Werneck, Waldir R. de Almeida, Bernardo V. Stein, Daniel V. Pazinato, Pedro R. Mendes Júnior, Ricardo da S. Torres, Anderson Rocha, Mid-level image representations for real-time heart view plane classification of echocardiograms, Computers in Biology and Medicine, Volume 66, 1 November 2015, Pages 66-81, ISSN 0010-4825, http://dx.doi.org/10.1016/j.compbiomed.2015.08.004.