Sequential functional analysis of left ventricle from 2D-echocardiography images.

The sequential changes in shape of left ventricle (LV), which are the result of cellular interactions and their levels of organizational complexity, in its long axis view during one cardiac cycle are obtained. The changes are presented in terms of shape descriptors by processing of images obtained from a normal subject and two patients with dilated left ventricular cardio-myopathy. These images are processed, frame by frame, by a semi-automatic algorithm developed by MATLAB. This is consisting of gray scale conversion, the LV contour extraction by application of median and SRAD filters, and morphological operations. By filling the identified region with pixels and number of pixels along its contour the area and perimeter are calculated, respectively. From these the changes in LV volume and shape index are calculated. Based on these the stroke volume (SV) and ejection fraction (EF) are calculated. The changes in LV area, perimeter, volume and shape index in cardiac patients are less than that of normal subject. The calculated SV and EF of normal subject are within the range as obtained by various imaging procedures.

[1]  D G Gibson,et al.  Continuous assessment of left ventricular shape in man. , 1975, British heart journal.

[2]  C. G. Blomqvist,et al.  Stroke volume in-vivo using multiple 2D echo views from one echo window. , 1985, Computers in cardiology.

[3]  V L Morgan,et al.  Normal human right and left ventricular mass, systolic function, and gender differences by cine magnetic resonance imaging. , 1999, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[4]  Alejandro F. Frangi,et al.  Three-dimensional modeling for functional analysis of cardiac images, a review , 2001, IEEE Transactions on Medical Imaging.

[5]  P. K. Dutta,et al.  A GA based approach for boundary detection of left ventricle with echocardiographic image sequences , 2003, Image Vis. Comput..

[6]  R M Lang,et al.  Left ventricular assessment using real time three dimensional echocardiography , 2003, Heart.

[7]  Luciano da Fontoura Costa,et al.  Biological shape analysis by digital curvature , 2004, Pattern Recognit..

[8]  Rafael C. González,et al.  Digital image processing using MATLAB , 2006 .

[9]  Maurizio Baroni,et al.  Contour Definition and Tracking in Cardiac Imaging Through the Integration of Knowledge and Image Evidence , 2004, Annals of Biomedical Engineering.

[10]  Xiaokui Li,et al.  Real-time 3-dimensional Doppler echocardiography for the assessment of stroke volume: an in vivo human study compared with standard 2-dimensional echocardiography. , 2005, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

[11]  L. Kek,et al.  Space-time Signature Analysis of 2D Echocardiograms Based on Topographic Cellular Active Contour Techniques , 2006, 2006 10th International Workshop on Cellular Neural Networks and Their Applications.

[12]  Goze B. Bénié,et al.  Comparison of PolSAR Speckle Filtering Techniques , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[13]  H. Yalçin,et al.  Single photon emission computed tomography: An alternative imaging modality in left ventricular evaluation , 2008, Vascular health and risk management.

[14]  Antonio Fernández-Caballero,et al.  Determining heart parameters through left ventricular automatic segmentation for heart disease diagnosis , 2009, Expert Syst. Appl..

[15]  Victor Mor-Avi,et al.  Feasibility of left ventricular shape analysis from transthoracic real-time 3-D echocardiographic images. , 2009, Ultrasound in medicine & biology.

[16]  M. Ramasubba Reddy,et al.  Detection of left ventricle systolic dysfunction from shape deformity , 2009, Australasian Physics & Engineering Sciences in Medicine.

[17]  Joao L. A. Carvalho,et al.  Semi-automatic algorithm for construction of the left ventricular area variation curve over a complete cardiac cycle , 2010, Biomedical engineering online.

[18]  J. Jeeva,et al.  Digital analysis of changes by Plasmodium vivax malaria in erythrocytes. , 2011, Indian journal of experimental biology.

[19]  H. Kumar Segmentation and Feature Extraction of Ultrasound Images by Modified Level Set Method and Chain-VESE Methods Using SRAD Filter , 2012 .

[20]  Majid Pouladian,et al.  Measuring Left Ventricular Volumes in Two-Dimensional Echocardiography Image Sequence Using Level-set Method for Automatic Detection of End-Diastole and End-systole Frames , 2012, Research in cardiovascular medicine.