Title :
Cardiac Motion Evaluation for Disease Diagnosis Using ICA Basis Neural Network
Author :
Mansoory, Meysam Siyah ; Ashtiyani, Meghdad ; Hojjat, T.N.
Author_Institution :
Bio Med. Dept., Azad Univ., Tehran, Iran
Abstract :
In this paper, we used ICA based artificial neural network (ANN) and propose a robust technique for efficient 2D echocardiography image analyzing. This project can be divided in three parts. The first part is cardiac motion estimation from sequence of echocardiography. The second part is feature extraction from motion patterns using sources, these sources is derived from independent component analyzing (ICA) algorithm. The third part is the classification of normal and abnormal myocardial function using neural network.
Keywords :
diseases; echocardiography; feature extraction; image classification; image sequences; independent component analysis; medical image processing; motion estimation; muscle; neural nets; 2D echocardiographic sequence; ANN; ICA based artificial neural network; cardiac motion estimation; disease diagnosis; feature extraction; independent component analyzing algorithm; motion pattern; myocardial function classification; Artificial neural networks; Cardiac disease; Cardiovascular diseases; Echocardiography; Feature extraction; Image analysis; Independent component analysis; Motion estimation; Neural networks; Robustness; Cardiac Motion; Independent Component Analysis; Neural Network;
Conference_Titel :
Computer Science and Information Technology - Spring Conference, 2009. IACSITSC '09. International Association of
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3653-8
DOI :
10.1109/IACSIT-SC.2009.117
