Title :
Endocardium wall extraction from noisy cardiac MR images using modified gradient vector flow algorithm
Author :
Bhan, Anupama ; Amin, Yabrin ; Sreemathy, R.
Author_Institution :
ASET, Amity Univ., Noida, India
Abstract :
Magnetic resonance imaging is a non invasive method to detect any type of deformation of heart during a cardiac cycle. The importance of segmentation holds more true in case of medical images where decisions are solely dependent on it. To make thorough use of this functional information, it is necessary to segment endocardium i.e inner wall of left ventricle of human heart for proper diagnosis. To achieve this, an improved external force for active contour called as modified gradient vector flow is used to overcome the drawbacks of original framework. MGVF is computed by diffusion of gradient of a gray scale image. For pre-processing, anisotropic diffusion filtering is used for noise removal and preserving edges. This new external force pushes the contour or snake more closer to the inner boundary of left ventricle. This paper has extracted the left ventricle wall with better accuracy. The pre-processing has sufficiently reduced the noise and preserves LV edges.
Keywords :
biomedical MRI; cardiology; edge detection; feature extraction; image colour analysis; image denoising; image filtering; image segmentation; medical image processing; object detection; MGVF; active contour; anisotropic diffusion filtering; cardiac cycle; diagnosis; edges preservation; endocardium segmentation; endocardium wall extraction; external force; gray scale image gradient; heart deformation detection; human heart; left ventricle wall; magnetic resonance imaging; medical image segmentation; modified gradient vector flow algorithm; noise removal; noisy cardiac MR images; noninvasive method; snake model; Active contours; Biomedical imaging; Force; Image edge detection; Image segmentation; Magnetic resonance imaging; Vectors; Active Contours; Endocardium; Left Ventricle; MGVF; Magnetic Resonance Imaging (MRI); Segmentation;
Conference_Titel :
Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
Conference_Location :
Greater Noida
Print_ISBN :
978-1-4799-5096-6
DOI :
10.1109/MedCom.2014.7006031