Analysis and Interpretation of Coronary Artery Blockage using Soft Computing Techniques

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 5

Abstract

Abstract: Analysis and interpretation of Myocardial infarction, is very important at the early stage to detect the possible risk for heart attacks. Various non-invasive imaging modalities have been used for better diagnosis. Cardiologist wants better image resolution and detailed descriptions of the ROI (Region of Interest). In thepresent paper, the images have been pre-processed for further applications like filtering, denoising and deblurring by using various techniques like the usages of average and median filter, soft thresholding for various segmentation coronary blockages.The vessel segmentation taken from CT angiogram DICOM images. The vessel segmentation X-Ray image has been processed by fuzzy system. The gradient of the image has been taken after the conversion into double precision. 24 different ‘If Then’ rules have been initiated and the defuzzification method has been done by centriod method.

Authors and Affiliations

Ankur Sharma , Dr. Saurabh Mukherjee

Keywords

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  • EP ID EP159651
  • DOI -
  • Views 109
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How To Cite

Ankur Sharma, Dr. Saurabh Mukherjee (2016). Analysis and Interpretation of Coronary Artery Blockage using Soft Computing Techniques. IOSR Journals (IOSR Journal of Computer Engineering), 18(5), 74-80. https://europub.co.uk/articles/-A-159651