NDLI: Segmentation of cardiac MR images using - the EM algorithm with a 4D probabilistic atlas and a global connectivity filter

Content Provider	IEEE Xplore Digital Library
Author	Lorenzo-Valdes, M. Rueckert, D. Mohiaddin, R. Sanchez-Ortiz, G.I.
Copyright Year	2003
Description	Author affiliation: Dept. of Comput., Imperial Coll., London, UK (Lorenzo-Valdes, M.; Rueckert, D.)
Abstract	In this paper an automatic atlas-based segmentation algorithm for 4D cardiac MR images is described. The algorithm is based on the 4D extension of the expectation maximisation (EM) algorithm. The EM algorithm uses a 4D probabilistic cardiac atlas to estimate the initial model parameters and to integrate spatially-varying a-priori information into the classification process. It provides space and time-varying probability maps for the left and right ventricle, the myocardium, and background structures such as the liver, stomach, lungs and skin. The segmentation algorithm also incorporates spatial and temporal contextual information by using 4D Markov Random Fields (MRF). After the classification, the largest connected component of each structure is used as a global connectivity filter that improves the results significantly, especially for the myocardium. Validation against manual segmentations and computation of the correlation between manual and automatic segmentation on 249 3D volumes were calculated. Results show that the procedure can successfully segment the left ventricle (LV) (r=0.96), myocardium (r=0.92) and right ventricle (RV) (r=0.92).
Sponsorship	Whitaker Found
Starting Page	626
Ending Page	629
File Size	415798
Page Count	4
File Format	PDF
ISBN	0780377893
ISSN	1094687X
DOI	10.1109/IEMBS.2003.1279832
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-17
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Myocardium Markov random fields Iterative algorithms Maximum likelihood estimation Parameter estimation Information filtering Information filters Heart Magnetic resonance imaging
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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