Development of ABF and Fuzzy Based Techniques for detection of heart blocks in CT-Scan image

	International Journal of P2P Network Trends and Technology (IJPTT)
	© 2016 by IJPTT Journal
	Volume - 6 Issue - 2
	Year of Publication : 2016
	Authors : M.Ramu, B.Sridhar, K.Mounika, M.Sreelekha, K.Aravind babu
	DOI :  10.14445/22492615/IJPTT-V25P401

Citation

M.Ramu, B.Sridhar, K.Mounika, M.Sreelekha, K.Aravind babu "Development of ABF and Fuzzy Based Techniques for detection of heart blocks in CT-Scan image". International Journal of P2P Network Trends and Technology (IJPTT), V6(2):31-35 Mar - Apr 2016, ISSN:2249-2615, www.ijpttjournal.org, Published by Seventh Sense Research Group.

Abstract

CT scan imaging is one of the fastest and accurate method for examining heart and plays a vital role in detection of size of the blocks and identify its precise region in heart. Physicians often prefer the CT scan examination to quickly identify the blocks in heart and assess the results for monitor response. The proposed method mainly consists of three blocks, they are pre-processing, segmentation of blocks in CT scan image of heart, evaluation. Preprocessing has done by using adaptive bilateral filter that which removes a high robust noise on the image and highlights the boundaries of the regions in the image. In the process of segmentation an image subtraction is applied on the CT scan image to extract the high intensity areas followed a fuzzy logic based detection process to highlight the blocks in heart and rest of the regions are being suppressed. The proposed method is to be simulated on MATLAB and to be tested with patient CT scan data sets. The results of the proposed method are compared with expert radiologists detection, which shows proposed method is efficient and gives a high performance results.

References

[1] Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael scheuering and Dorin comaniciu, “Four-chamber heart modelling and automatic segmentation for 3D cardiac CT volumes using marginal space learning and steerable features”, 2013, IEEE paper.
[2] Jorge Larrey-Ruiz, Juan Morales-Sánchez, María C Bastida- Jumilla, Rosa M Menchón-Lara,Rafael Verdú-Monedero and José L Sancho-Gómez, “Automatic image-based segmentation of the heart from CT scans”, Larrey-Ruiz et al. EURASIP Journal on Image and Video Processing 2014, Research paper.
[3] International Journal of Advanced Research in Computer Science and Software engineering, Research paper, “Calcification Detection in Coronary Arteries Using Image Processing”, Volume 3, Issue 8, August 2013.
[4] Gonzalez woods, Digital image processing, 3rd edition, India, pearson education, 2011.
[5] Dr. Mukesh K Goyal, Dr Rajesh Verma, Dr Shiv R Kochar, Dr Shrikant S Asawa, Correlation of CT Scan with Postmortem findings of Acute Head Trauma cases at SMS Hospital, Jaipur J Indian Acad Forensic Med, 32(3), 1990.
[6] The use of Image processing techniques for the analysis of echocardiographic images, purdue university, Enrique Garcia-Melendo,1988.

Keywords
CT scan, Fuzzy technique, Image segmentation, Bi lateral filtering.