DocumentCode :
117972
Title :
Parametric models for segmentation of Cardiac MRI database with geometrical interpretation
Author :
Bhan, Anupama
Author_Institution :
Dept. of Electron. & Commun. Eng., Amity Univ., Noida, India
fYear :
2014
fDate :
20-21 Feb. 2014
Firstpage :
711
Lastpage :
715
Abstract :
There are several medical image modalities which enable a proper diagnosis of Heart Diseases. Magnetic Resonance imaging is one of the most non invasive techniques used by radiologist for diagnosis nowadays. Segmentation of Cardiac MRI is basically dividing the heart into left and right ventricle, where left ventricle plays a vital role. In this paper the segmentation of Left Ventricle using parametric model is done which helps to calculate geometrical parameters. These parameters further helps to distinguish between an abnormal and normal heart. The segmentation is carried out on multi slice MRI frame. Parametric model used in this paper is Active Contour Model which is also called as Snake Model or Deformable model. The geometrical analysis is shown graphically to show the difference between different patient databases. The clinical diagnosis is also made on the physiological parameters like volume of blood and ejection fraction which will be the future extension to this paper.
Keywords :
biomedical MRI; cardiology; geometry; image segmentation; medical image processing; patient diagnosis; radiology; active contour model; cardiac MRI database; clinical diagnosis; deformable model; geometrical interpretation; heart diseases; image segmentation; magnetic resonance imaging; medical image modalities; parametric models; patient databases; patient diagnosis; radiology; snake model; Active contours; Equations; Heart; Image edge detection; Image segmentation; Magnetic resonance imaging; Vectors; Active contour models; deformable models; gradient vector flow; image segmentation; snakes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Integrated Networks (SPIN), 2014 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-2865-1
Type :
conf
DOI :
10.1109/SPIN.2014.6777047
Filename :
6777047
Link To Document :
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