Adaptive image inversion of contrast 3D echocardiography for enabling automated analysis

Research output: Contribution to journalArticle

Authors

Colleges, School and Institutes

External organisations

  • School of Electrical Engineering and Computer Science (SEECS), National University of Sciences & Technology (NUST)

Abstract

Introduction
Contrast 3D echocardiography (C3DE) is commonly used to enhance the visual quality of ultrasound images in comparison with non-contrast 3D echocardiography (3DE). Although the image quality in C3DE is perceived to be improved for visual analysis, however it actually deteriorates for the purpose of automatic or semi-automatic analysis due to higher speckle noise and intensity inhomogeneity. Therefore, the LV endocardial feature extraction and segmentation from the C3DE images remains a challenging problem.

Methods
To address this challenge, this work proposes an adaptive pre-processing method to invert the appearance of C3DE image. The image inversion is based on an image intensity threshold value which is automatically estimated through image histogram analysis.

Results
In the inverted appearance, the LV cavity appears dark while the myocardium appears bright thus making it similar in appearance to a 3DE image. Moreover, the resulting inverted image has high contrast and low noise appearance, yielding strong LV endocardium boundary and facilitating feature extraction for segmentation.

Conclusions
Our results demonstrate that the inverse appearance of contrast image enables the subsequent LV segmentation.

Details

Original languageEnglish
Pages (from-to)99-107
Number of pages8
JournalComputers in Biology and Medicine
Volume63
Early online date21 May 2015
Publication statusPublished - 1 Aug 2015

Keywords

  • Contrast 3D echocardiography, 3D echocardiography, Image inversion, LV segmentation, Histogram analysis