Abstract
Contrast 3D echocardiography (C3DE) enhances the visual quality of ultrasound images in comparison with conventional 3D echocardiography (3DE). Though the image quality in C3DE is perceived to be improved for visual analysis, but it actually deteriorates for the purpose of automatic or semi-automatic analysis due to high speckle noise and intensity in homogeneity. Therefore, the left ventricle (LV) endocardial feature extraction and segmentation from C3DE images remains a challenging problem. To overcome this challenge, this work proposes a simple adaptive method to invert the appearance of C3DE image. In this inverted appearance, the LV cavity appears dark while the myocardium appears bright similar to 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. The proposed method inverts the C3DE image by using a threshold that is determined automatically through image histogram analysis. Subsequently, the inverted image information is utilized in an edge-driven LV feature extraction and segmentation method. The segmentation results of LV boundary delineation are compared to manual LV boundary delineation and a good match is observed.
Original language | English |
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Title of host publication | Proceedings - 12th International Conference on Frontiers of Information Technology, FIT 2014 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 336-341 |
Number of pages | 6 |
ISBN (Electronic) | 9781479975051 |
DOIs | |
Publication status | Published - 2014 |
Event | 12th International Conference on Frontiers of Information Technology, FIT 2014 - Islamabad, Pakistan Duration: 17 Dec 2014 → 19 Dec 2014 |
Publication series
Name | Proceedings - 12th International Conference on Frontiers of Information Technology, FIT 2014 |
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Conference
Conference | 12th International Conference on Frontiers of Information Technology, FIT 2014 |
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Country/Territory | Pakistan |
City | Islamabad |
Period | 17/12/14 → 19/12/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- Contrast 3D echocardiography
- histogram
- image inversion
- LV feature extraction
ASJC Scopus subject areas
- Information Systems