Paper Info
Title
Phase Symmetry Approach Applied to Children Heart Chambers Segmentation: A Comparative Study.
Abstract
Segmentation of echocardiographic images presents a great challenge because these images contain strong speckle noise and artifacts. Besides, most ultrasound segmentation methods are semiautomatic, requiring initial contour to be manually identified in the images. In this paper, we propose an algorithm based on the phase symmetry approach and level set evolution, in order to extract simultaneously all heart cavities in a fully automatic way. The level set evolution uses a new logarithmic-based stopping function, which demonstrates to perform well in the boundary extraction. We compared our method with other level set approaches, the watershed technique, and the manual segmentation made by two physicians. The experimental work was based on echocardiography images of children. Similarity metrics, namely Pratt function, pixel mean error, and similarity angle have been used for the performance evaluation of the different methods. The results indicate that our method has a performance of at least 4% superior to the other methods able to segment the four chambers. Even for the two worst boundary extraction cases (right ventricle and left atrium), the performance of the proposed method is still better than the other techniques.
Year
DOI
Venue
2011
10.1109/TBME.2011.2144982
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
mean error,level set,image segmentation,speckle noise,edge detection,comparative study,measurement,pixel,speckle,ultrasound
Computer vision,Scale-space segmentation,Speckle pattern,Computer science,Segmentation,Level set,Mean squared error,Image segmentation,Artificial intelligence,Pixel,Speckle noise
Journal
Volume
Issue
ISSN
58
8
0018-9294
Citations 
PageRank 
References 
7
0.49
12
Authors
5
Name
Order
Citations
PageRank
Sofia G. Antunes1142.09
José Silvestre Silva2293.96
Jaime B. Santos3202.16
Paula Martins4406.51
Eduardo Castela5151.76