Myocardial Ischemia Detection Algorithm (MIDA): Automated echocardiography sequence analysis for diagnosis of heart muscle damage

Author

Ahanathapillai, Vijayalakshmi ; Soraghan, John J.

Author_Institution

Univ. of Strathclyde, Glasgow, UK

fYear

2010

fDate

26-29 Sept. 2010

Firstpage

405

Lastpage

408

Abstract

A Myocardial Ischemia Detection Algorithm (MIDA) is presented that analyses echocardiography sequences automatically in order to detect the presence of heart muscle damage. MIDA involves an image enhancement, fuzzy multi resolution edge detection to obtain the heart wall boundaries, composite motion image creation using the heart wall boundaries, followed by statistical pattern recognition and classification to identify the heart wall abnormality. The performance of MIDA is assessed using 62 real patient data with both normal and abnormal conditions. The results indicate that MIDA can be used as an effective tool for automatically diagnosing Myocardial Ischemia.

Keywords

automatic optical inspection; cardiovascular system; diseases; echocardiography; edge detection; fuzzy logic; image classification; image enhancement; image recognition; image resolution; image sequences; medical image processing; muscle; automated echocardiography sequence analysis; composite motion image creation; fuzzy multiresolution edge detection; heart muscle damage diagnosis; heart wall boundaries; image classification; image enhancement; myocardial ischemia detection algorithm; statistical pattern recognition; Cavity resonators; Feature extraction; Heart; Image edge detection; Noise; Principal component analysis; Support vector machine classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing in Cardiology, 2010

Conference_Location

Belfast

ISSN

0276-6547

Print_ISBN

978-1-4244-7318-2

Type

conf

Filename

5737995