Title :
Segmental quantitative analysis of myocardial contrast echocardiography images using a bullseye representation
Author :
Murta, Lo, Jr. ; Pazin-Filho, A. ; Schmidt, A. ; Almeida-Filho, O.C. ; Marin-Neto, JA ; Maciel, Bc
Author_Institution :
Sao Paulo Univ., Ribeirao Preto, Brazil
Abstract :
In this study, we describe a new method for representing myocardial contrast echocardiography (MCE) images, which provides an integrated and objective evaluation of left ventricular (LV) myocardial perfusion. MCE images were obtained in parasternal short axis views at mitral valve, papillary muscles and apical levels in an animal model of acute myocardial infarction. A software was developed to analyse MCE images, providing: 1) manual definition of myocardial borders; 2) automated division of LV in 16 segments; 2) quantitation of blood flow and texture analysis in each LV segment; 3) Color and numerical quantitation of blood flow distribution and texture entropy for each segment displayed as a bulls-eye representation of the 16 LV segments. This bull-eye representation provides additional quantitative information regarding global distribution of perfusion.
Keywords :
echocardiography; haemorheology; image colour analysis; image representation; image segmentation; image texture; medical image processing; muscle; acute myocardial infarction; animal model; apical levels; blood flow; bullseye representation; color analysis; left ventricular myocardial perfusion; manual myocardial borders definition; mitral valve; myocardial contrast echocardiography images; papillary muscles; parasternal short axis views; segmental quantitative analysis; texture analysis; texture entropy; Animals; Blood flow; Echocardiography; Image analysis; Image color analysis; Image segmentation; Image texture analysis; Muscles; Myocardium; Valves;
Conference_Titel :
Computers in Cardiology, 2003
Print_ISBN :
0-7803-8170-X
DOI :
10.1109/CIC.2003.1291119
