NDLI: Contrast 3D echocardiographic segmentation by image inversion

Content Provider	IEEE Xplore Digital Library
Author	Nasim, A. Idrees, M.Q. Rajpoot, K.
Copyright Year	2014
Description	Author affiliation: Coll. of Comput. Sci. & Inf. Technol., King Faisal Univ., Al-Hassa, Saudi Arabia (Rajpoot, K.) \|\| Bahria Univ., Islamabad, Pakistan (Nasim, A.) \|\| Sch. of Electr. Eng. & Comput. Sci., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan (Idrees, M.Q.)
Abstract	This paper presents left ventricle (LV) endocardial segmentation from contrast 3D echocardiography (C3DE) images. The C3DE image segmentation is a very challenging problem. Though the image quality is perceived to be improved for visual analysis, the image quality actually deteriorates for the purpose of automatic/semi-automatic analysis due to high speckle noise. To overcome the speckle noise and low contrast between myocardium and LV cavity, we employ a simple inverse image construction method to ease the segmentation challenge. This reduces the failure rate of segmentation which was otherwise very high on C3DE. The image inversion method inverts the C3DE image appearance, thus having high contrast and low noise appearance while the endocardial delineation becomes clearer. This inverted image information is utilized in a semi-automatic image-driven LV segmentation method. The segmentation results of LV boundary delineation are compared to a manual LV boundary delineation and a good match is observed.
Starting Page	177
Ending Page	181
File Size	1020077
Page Count	5
File Format	PDF
ISBN	9781479957545
e-ISBN	9781479957552
DOI	10.1109/INMIC.2014.7097333
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-08
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Noise Speckle Myocardium Lead Echocardiography Image edge detection
Content Type	Text
Resource Type	Article

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