Diagnosis of Cardiovascular Diseases (CVD) Using Medical Images

  • R. Indumathi
  • M. Maheswari
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 446)


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.


Ultrasound imaging Common carotid artery Cardiovascular diseases (CVD) Intima media thickness (IMT) 


  1. 1.
    Goyal P, Goyal K, Gupta V (2013) Calcification detection in coronary arteries using image processing. Int J Adv Res Comput Sci Softw Eng 3(8)Google Scholar
  2. 2.
    Mendis S, Puska P, Norrving B (2011) Global atlas on cardiovascular disease prevention and control. WHOGoogle Scholar
  3. 3.
    Loizou CP, Pattichis CS, Pantziaris M, Tyllis T, Nicolaides A (2007) Snakes based segmentation of the common carotid artery intima media. Med Biol Eng Comput 45(1):35–49CrossRefGoogle Scholar
  4. 4.
    Loizou CP, Pattichis CS, Nicolaides AN, Pantziaris M (2009) Manual and automated media and intima thickness measurements of the common carotid artery. IEEE Trans Ultras Ferroel Freq Contr 56(5):983–994CrossRefGoogle Scholar
  5. 5.
    Sifakis EG, Golemati S (2013) Robust carotid artery recognition in longitudinal B-mode ultrasound images. Medical Imaging-CAD 867031Google Scholar
  6. 6.
    Loizou CP, Pattichis CS, Georghiou N, Griffin M, Nicolaides A (2013) A comparison of ultrasound intima-media thickness measurements of the left and right common carotid artery. In: 12th international conference bioinformatics & bioengineering (BIBE), Chania, Crete, 11–13 NovGoogle Scholar
  7. 7.
    Loizou CP, Pattichis CS, Christodoulou CI, Istepanian RSH, Pantziaris M, Nicolaides A (2005) Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery. IEEE Trans Ultras Ferroel Freq Contr 52(10):1653–1669CrossRefGoogle Scholar
  8. 8.
    Elalfi A, Eisa M, Ahmed H (2013) Artificial neural networks in medical images for diagnosis heart valse diseases. Int J Comput Sci Issues 10(5)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.K. Ramakrishnan College of EngineeringTiruchirappalliIndia
  2. 2.Department of ECEK. Ramakrishnan College of EngineeringTiruchirappalliIndia

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