Title :
Shape deformation descriptor using Fourier analysis
Author :
Saputro, Adhi Harmoko ; Mustafa, M. Marzuki ; Hussain, Aini ; Maskon, Oteh ; Nor, Ika Faizura Mohd
Author_Institution :
Dept. of Electr., Electron. & Syst. Eng., UKM, Bangi, Malaysia
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.
Keywords :
Fourier analysis; cardiology; data analysis; echocardiography; medical image processing; shape recognition; 2D echocardiography; 2DE; Fourier analysis; LV; data analysis; deformation analysis; left ventricle shape; motion estimation; movement vector; quantitative understanding; shape deformation descriptor; Biomedical imaging; Indexes; Motion estimation; Myocardium; Shape; Tracking; Vectors; fourier descriptor; left ventricle shape; non-rigid tracking; shape deformation;
Conference_Titel :
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1488-6
Electronic_ISBN :
2161-4393
DOI :
10.1109/IJCNN.2012.6252589