Automatic Quantification of Epicardial and Thoracic Adipose Tissue from Cardiac CT Scan Images
Sangeetha M1, Batri K2
1Sangeetha M, Department of Electronics and Communication Engineering, PSNA College of Engineering And Technology, Dindigul, India. sangeepriya10@gmail.com)
2Batri K, Department of Electronics and Communication Engineering, PSNA College of Engineering And Technology, Dindigul, India. krishnan.batri@gmail.com
Manuscript received on 05 April 2019 | Revised Manuscript received on 14 April 2019 | Manuscript Published on 24 May 2019 | PP: 178-181 | Volume-8 Issue-6S3 April 2019 | Retrieval Number: F10340486S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cardiac fat depots are correlated with the cardiac diseases.The major fat depots in the heart are epicardial and thoracic adipose tissue.The increase in epicardial and thoracic fat volume causes various diseases such as metabolic syndrome,coronary atherosclerosis,etc.It is essential to estimate the epicardial fat and thoracic fat. There are different imaging and assessing techniques for adipose tissue quantification. These adipose tissues can be quantified automatically or manually from the CT and MRI cardiac scans. The quantification of the EAT and TAT requires segmentation of these fats by various segmentation methods and then they are quantified. This project proposes the fully automatic segmentation of the epicardial and thoracic adipose tissues from the cardiac CT scan images employing the fuzzy c-means segmentation algorithm and quantification of fat volume from the segmented fat region. The FCM segmentation algorithm is used for the segmentation process by means of clustering which segments the epicardial fat and paracardial adipose tissue from the input image. The segmented epicardial and paracardial fat region are then used for the quantification process which provides the epicardial and thoracic fat volume. The thoracic fat is the combination of the epicardial and paracardial fat. This proposed system is implemented by using the matlabcode. The proposed system is simple, fully automatic and produces accurate results.
Keywords: Epicardial Adipose Tissue, Paracardial Adipose Tissue, Computed Tomography, Thoracic Adipose Tissue.
Scope of the Article: Communication