Publication Type:

Conference Paper


2011 International Conference on Emerging Trends in Electrical and Computer Technology, ICETECT 2011, Chunkankadai, p.876-881 (2011)





Algorithms, Atlas, Computerized tomography, Coronary arteries, CT Image, Detection technique, Edge detection, Heart, Human bodies, Human heart, Image segmentation, Interactive session, Interactive system, K-means, Laplacian of Gaussian, Medical students, Morphological structures, Multiple regions, Prewitt, Quality measures, Region growing, Segmentation, Segmentation algorithms, Spatial relations, structure analysis, Thresholding, User interfaces, Visual perception, Visualization, Visualization technique


Human heart anatomy is the study of morphological structures and relationships between morphological structures. Hence such a study when visualized in the form of a two dimensional atlas can hold strong interactive sessions between doctors and medical students. Atlas is a visualization technique developed for understanding the morphological structures of a human body. Interacting directly with morphological structures contributes to a more comprehensive understanding of them in spatial relation to their surroundings. The purpose of this paper is to develop new interactive system, where the system provides a 2D atlas and artery detection of the human heart in detail. 2D atlas is created by using segmentation as a technique, where image segmentation is done to segment different parts of the morphological structures while performing structure analysis in the system. The segmentation algorithms used were K-Means, Watershed and Region Growing. Out of these three algorithms, region growing was considered to be the best because the algorithm was able to extract multiple regions of regions were then color masked for unique identification. By performing analytical study on different edge detection techniques such as Laplacian of Gaussian, Hessian, Frangi, Imoverlay (Sobel, Canny, Roberts and Prewitt), Thresholding (Global, Otsu, and Local), coronary artery was extracted from the given set of CT images of human heart. From the results produced by various algorithms, the doctor will decide which algorithm has given a better output based on visual perception and quality measures. © 2011 IEEE.


cited By (since 1996)1; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@644c56bd ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@4fd2c5bc Through org.apache.xalan.xsltc.dom.DOMAdapter@16b3e295; Conference Code:84968

Cite this Research Publication

S. T. Kumar, Pankajan, V. S., Dora, B. A., Tarun, E. V. L. N., Varun, E. V. S. R., and Chakravarthi, N. V. S., “2D Atlas and coronary detection of human heart for educational purposes”, in 2011 International Conference on Emerging Trends in Electrical and Computer Technology, ICETECT 2011, Chunkankadai, 2011, pp. 876-881.