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Intelligent and Efficient Electrical Systems pp 257–268Cite as

Diagnosis of Cardiovascular Diseases (CVD) Using Medical Images

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 446))

Abstract

Intima media thickness is the main indicator of the heart disease, and it is one of the major criteria for early screening and diagnosis of heart diseases. In the proposed work, left and right common carotid artery (CCA) intima media thickness is measured by taking ultrasound image of heart. A multistep algorithm is presented based on Otsu’s thresholding to segment the carotid artery in the ultrasound image. The noises presented in the image are removed using filters such as Lee, Kuan, wavelet denoising, SRAD, and Kalman filters. Morphological operations enhance the carotid artery region, and it makes easy to measure the intima media thickness (IMT). Finally, the upper and lower intima media thickness range is measured accurately and the images are classified using the SVM and RBF classifiers which provide efficiency of 96 and 98%, respectively. The obtained efficiencies are more accurate compared to the existing one.

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Authors and Affiliations

  1. K. Ramakrishnan College of Engineering, Tiruchirappalli, 621112, India

    R. Indumathi

  2. Department of ECE, K. Ramakrishnan College of Engineering, Tiruchirappalli, 621112, India

    M. Maheswari

Authors
  1. R. Indumathi
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  2. M. Maheswari
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Corresponding author

Correspondence to M. Maheswari .

Editor information

Editors and Affiliations

  1. Electrical and Electronics Engineering, PSG College of Technology, Coimbatore, Tamil Nadu, India

    M.C. Bhuvaneswari

  2. Anora LLC, Plano, Texas, USA

    Jayashree Saxena

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© 2018 Springer Nature Singapore Pte Ltd.

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Indumathi, R., Maheswari, M. (2018). Diagnosis of Cardiovascular Diseases (CVD) Using Medical Images. In: Bhuvaneswari, M., Saxena, J. (eds) Intelligent and Efficient Electrical Systems. Lecture Notes in Electrical Engineering, vol 446. Springer, Singapore. https://doi.org/10.1007/978-981-10-4852-4_25

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  • DOI: https://doi.org/10.1007/978-981-10-4852-4_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4851-7

  • Online ISBN: 978-981-10-4852-4

  • eBook Packages: EngineeringEngineering (R0)

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