Author : Kavitha. D 1
Date of Publication :25th May 2018
Abstract: Congenital heart defects(CHD) are broadly in charge of over 10% of neonatal mortality in India. The target of this work portrays the use of few procedures, for example, image enhancement, speckle noise removal, morphology and edge identification to depict the formation of 4 chamber heart from clinical ultrasound imaging. In this paper we are going to examine the fetal 4- chambered heart within 4 months and classify the normal and abnormal, indeed cannot be identified by expertise so early, using image processing. To classify we use fetal echocardiogram images and SVM algorithm
Reference :
-
- Prager R. W, Gee AH, Treece GM, Berman L. Speckle detection in ultrasound images using first order statistics. University of Cambridge; 2002. p. 1–17. Report No. - TR 415.
- Acar P, Dulac Y, Taktak A, Villaceque M. [Real time 3D echocardiography in congenital heart disease]. Arch Mal Coeur Vaiss 2004; 97:472. [PubMed: 15214550]
- Buskens E, Grobbee DE, Frohn-Mulder IME, Stewart PA, Juttmann RE, Wladimiroff JW, Hess J. Efficacy of Routine Fetal Ultrasound Screening for Congenital Heart Disease in Normal Pregnancy. Circulation 1996; 94:67. [PubMed: 8964120]
- Tian J, Yu W, Xie S. An ant colony optimization algorithm for image edge detection. IEEE International conference on IEEE Congress on Evolutionary Computation. 2008; 751–6.
- Aydin D. An efficient ant based edge detector. Transactions on Computational Collective Intelligence. 2010; 6220:39– 55.