Title
A level set segmentation method of the four heart cavities in pediatric ultrasound images
Abstract
Echocardiography is the most used medical imaging in pediatric cardiology. It is a fundamental tool to analyze the major heart disease and abnormalities since it is non invasive and simple to use for physicians even when the children are wiggle. Ultrasound images are very noisy, making the segmentation a difficult, not accurate and time consuming task. In this work we propose an automatic segmentation method to extract the four heart cavity boundaries using a new pre-processing algorithm, based on phase symmetry. Experimental results using real echocardiographic images of children show good performance of the proposed method, providing a reliable tool to segment the heart walls that can be helpful for clinical practice.
Year
DOI
Venue
2010
10.1007/978-3-642-13775-4_11
ICIAR (2)
Keywords
Field
DocType
major heart disease,pediatric ultrasound image,heart cavity boundary,reliable tool,heart wall,automatic segmentation method,fundamental tool,level set segmentation method,clinical practice,ultrasound image,cardiology,level set
Computer vision,Pattern recognition,Computer science,Medical imaging,Segmentation,Clinical Practice,Level set,Level set segmentation,Artificial intelligence,Phase symmetry,Ultrasound,Heart disease
Conference
Volume
ISSN
ISBN
6112
0302-9743
3-642-13774-1
Citations 
PageRank 
References 
5
0.47
6
Authors
3
Name
Order
Citations
PageRank
Sofia G. Antunes1142.09
José Silvestre Silva2293.96
Jaime B. Santos3202.16