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Shape deformation descriptor using Fourier analysis.

Authors :
Saputro, Adhi Harmoko
Mustafa, M. Marzuki
Hussain, Aini
Maskon, Oteh
Ika Faizura Mohd Nor
Source :
2012 International Joint Conference on Neural Networks (IJCNN); 1/ 1/2012, p1-5, 5p
Publication Year :
2012

Abstract

Deformation analysis of left ventricle (LV) shape could provide a new quantitative understanding of its abnormality. Currently, there is established motion estimation that allows accurate tracking of every point on the 2D echocardiography (2DE). This method produces a precise movement vector of each point in 2DE sequence. Analyzing this data using Fourier analysis could produce a new pattern to determine normal and abnormal deformation of LV. Observation of this method was performed on dataset acquired from 10 normal subjects and 10 patients. Two standard views (apical 2 and 4 chamber) were analyzed using a proposed technique to determine a novel insight of deformation. The results obtained are very promising and could be used as reference for future cardiac abnormality detection. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISBNs :
9781467314886
Database :
Complementary Index
Journal :
2012 International Joint Conference on Neural Networks (IJCNN)
Publication Type :
Conference
Accession number :
86632080
Full Text :
https://doi.org/10.1109/IJCNN.2012.6252589