Cardiac Motion Evaluation for Disease Diagnosis Using ICA Basis Neural Network

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 ext...

Full description

Saved in:
Bibliographic Details
Main Authors: Mansoory, Meysam Siyah, Ashtiyani, Meghdad, Hojjat, T.N.
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Cardiac disease
Cardiac Motion
Cardiovascular diseases
Echocardiography
Feature extraction
Image analysis
Independent component analysis
Motion estimation
Neural Network
Neural networks
Robustness
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
DOI:10.1109/IACSIT-SC.2009.117