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Coronary Vessel Extraction Algorithm for Block Detection in Angiograms
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| Author:
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SAMBATH M, DR. D.JOHNARAVINDHAR, DR.PRADEEP G NAYAR
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| Abstract:
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The coronary heart disease is one of the major problems for the people aged above 40 years nowadays. The most
important reason for heart disease is because of the blocks formed in the blood vessels due to fat deposits in the
vessels. Angiography is technique which is used to identify the blocks in the vessels by visualizing inside the lumen of
the heart. The angiographic images are obtained by a technique called X-ray angiogram or CT angiogram in the form
of DICOM (Digital Imaging and Communications in Medicine) images. Currently the identification of blocks in the
vessels is done manually by the doctors. This is paper presents an algorithm for the extraction of vessels which is a
first step in the in the process of identifying the blocks. Fuzzy based algorithm is proposed in this paper to identify the
vessels from the DICOM image. The proposed method is experimented on 24 patients’ dataset. The performance of
the proposed method is measured by comparing the segmented images with the hand-labeled ground truth images
given by the experts. The proposed method provides an accuracy of 95.46% on average.
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| Keyword:
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Coronary vessels, X-ray angiograghy, DICOM, Tophat transform
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| EOI:
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| DOI:
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https://doi.org/10.31838/ijpr/2019.11.02.005
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| Download:
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