NDLI: Left Ventricle mass extraction utilizing a multi-step probabilistic approach

Content Provider	IEEE Xplore Digital Library
Author	Marsousi, M. Abhari, K. Ahmadian, A. Alirezaie, J.
Copyright Year	2012
Description	Author affiliation: Department of Electrical and Computer Eng. Ryerson University, Canada (Marsousi, M.; Abhari, K.; Alirezaie, J.) \|\| Department of Biomedical Systems & Medical Physics, Tehran University of Medical Science, Iran (Ahmadian, A.)
Abstract	In this paper, a fully automated multi-step approach for segmenting the Left Ventricle (LV) chamber in echocardiography images is proposed. A preprocessing step is applied to remove the dark background and find the seed point inside the LV chamber, eliminating the specialist intervention for identifying the seed point to initialize the segmentation process. The Rayleigh-Gaussian Mixture model is used to statistically differentiate the blood from the myocardial regions in Echocardiography images. An ellipse inside the LV chamber is then automatically fitted by utilizing the active ellipse model. The resultant ellipse forms the initial contour of the modified B-Spline Snake algorithm that evolves iteratively to outline the inner boundary of the LV chamber. Finally, the Markov Random Field (MRF) algorithm is utilized to extract the LV myocardium. The boundary specified by the B-spline snake is involved in reducing the number of MRF sites. The detected myocardium accuracy for all images is calculated using the dice's coefficient. Our results demonstrate that the proposed method is more reliable and overcomes the common problems in segmentation of Echocardiography images such as speckle noise and large gaps in contrast with previous works.
Starting Page	741
Ending Page	744
File Size	349967
Page Count	4
File Format	PDF
ISBN	9781467300452
ISSN	15206149
e-ISBN	9781467300469
e-ISBN	9781467300445
DOI	10.1109/ICASSP.2012.6287990
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Myocardium Splines (mathematics) Echocardiography Image segmentation Blood Markov random fields Echocardiography Images B-Spline Snake Active Ellipse Model Markov Random Field Expectation Maximization
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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