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Cardiac Chamber Contour Extraction: Performance Evaluation of an Algorithm and Physicians

Cardiac Chamber Contour Extraction: Performance Evaluation of an Algorithm and Physicians

Diogo Roxo, José Silvestre Silva, Jaime B. Santos, Paula Martins, Eduardo Castela, Rui Martins
Copyright: © 2013 |Pages: 23
ISBN13: 9781466636675|ISBN10: 146663667X|EISBN13: 9781466636682
DOI: 10.4018/978-1-4666-3667-5.ch018
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MLA

Roxo, Diogo, et al. "Cardiac Chamber Contour Extraction: Performance Evaluation of an Algorithm and Physicians." Information Systems and Technologies for Enhancing Health and Social Care, edited by Ricardo Martinho, et al., IGI Global, 2013, pp. 270-292. https://doi.org/10.4018/978-1-4666-3667-5.ch018

APA

Roxo, D., Silva, J. S., Santos, J. B., Martins, P., Castela, E., & Martins, R. (2013). Cardiac Chamber Contour Extraction: Performance Evaluation of an Algorithm and Physicians. In R. Martinho, R. Rijo, M. Cruz-Cunha, & J. Varajão (Eds.), Information Systems and Technologies for Enhancing Health and Social Care (pp. 270-292). IGI Global. https://doi.org/10.4018/978-1-4666-3667-5.ch018

Chicago

Roxo, Diogo, et al. "Cardiac Chamber Contour Extraction: Performance Evaluation of an Algorithm and Physicians." In Information Systems and Technologies for Enhancing Health and Social Care, edited by Ricardo Martinho, et al., 270-292. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3667-5.ch018

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Abstract

Segmentation of echocardiography images presents a great challenge since such images contain strong speckle noise and artifacts. Most ultrasound segmentation methods are semi-automatic, requiring initial contour to be manually identified in the images. In this chapter, a level set algorithm based on the phase symmetry approach and on a new logarithmic-based stopping function is used to extract simultaneously the four heart cavities in a fully automatic way. The idea is to evaluate the algorithm potential for the clinical practice as an additional tool helping the physician´s decision. Thus, the extracted contours are compared with the ones sketched by four physicians using for that several metrics, namely distance error, maximum distance, pratt function, similarity angle, similarity region, hausdorff distance, accuracy, overlap, sensitivity, and specificity. The authors show that the proposed algorithm performs well, producing contours very similar to the physicians’ ones. The experimental work was based on echocardiography images of children.

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