Search of dynamic magnetic resonance images using active shape model

This paper focuses on segmenting dynamic magnetic resonance (MR) images of the human heart stored in a database. Heart MR images are dynamic, as the size and shape of a person?s heart vary in time. Active Shape Model segmentation was used to segment dynamic images of the heart. The input data is a p...

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Main Authors: Maniam, Jayanthy *, Narainasamy, Selvanathan
Format: Article
Language:English
Published: Sunway University College 2005
Subjects:
Online Access:http://eprints.sunway.edu.my/15/
http://eprints.sunway.edu.my/15/1/jayanthy77.pdf
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author Maniam, Jayanthy *
Narainasamy, Selvanathan
author_facet Maniam, Jayanthy *
Narainasamy, Selvanathan
author_sort Maniam, Jayanthy *
building SU Institutional Repository
collection Online Access
description This paper focuses on segmenting dynamic magnetic resonance (MR) images of the human heart stored in a database. Heart MR images are dynamic, as the size and shape of a person?s heart vary in time. Active Shape Model segmentation was used to segment dynamic images of the heart. The input data is a points file of a set of random points. This method is economical since points of all the frames need not be placed in the points file for search. Segmented dynamic images of an organ such as a heart would help physicians to better understand certain medical conditions. The novelty of this approach is that it allows automatic segmentation of thousands of dynamic MR images in the database, visualization of the shape variation and retrieval of similar cases of interest from the image database.
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spelling sunway-152019-05-13T07:58:50Z http://eprints.sunway.edu.my/15/ Search of dynamic magnetic resonance images using active shape model Maniam, Jayanthy * Narainasamy, Selvanathan QA75 Electronic computers. Computer science QA76 Computer software R Medicine (General) This paper focuses on segmenting dynamic magnetic resonance (MR) images of the human heart stored in a database. Heart MR images are dynamic, as the size and shape of a person?s heart vary in time. Active Shape Model segmentation was used to segment dynamic images of the heart. The input data is a points file of a set of random points. This method is economical since points of all the frames need not be placed in the points file for search. Segmented dynamic images of an organ such as a heart would help physicians to better understand certain medical conditions. The novelty of this approach is that it allows automatic segmentation of thousands of dynamic MR images in the database, visualization of the shape variation and retrieval of similar cases of interest from the image database. Sunway University College 2005 Article PeerReviewed text en http://eprints.sunway.edu.my/15/1/jayanthy77.pdf Maniam, Jayanthy * and Narainasamy, Selvanathan (2005) Search of dynamic magnetic resonance images using active shape model. Sunway Academic Journal, 2. pp. 77-83.
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
R Medicine (General)
Maniam, Jayanthy *
Narainasamy, Selvanathan
Search of dynamic magnetic resonance images using active shape model
title Search of dynamic magnetic resonance images using active shape model
title_full Search of dynamic magnetic resonance images using active shape model
title_fullStr Search of dynamic magnetic resonance images using active shape model
title_full_unstemmed Search of dynamic magnetic resonance images using active shape model
title_short Search of dynamic magnetic resonance images using active shape model
title_sort search of dynamic magnetic resonance images using active shape model
topic QA75 Electronic computers. Computer science
QA76 Computer software
R Medicine (General)
url http://eprints.sunway.edu.my/15/
http://eprints.sunway.edu.my/15/1/jayanthy77.pdf