Left ventricle tracking in isotopic ventriculography using statistical deformable models
Joint Authors
Hamrouni, Kamal
Khalifah, Nawres
Utaybi, Said
Wahbi, Yosra
Source
The International Arab Journal of Information Technology
Issue
Vol. 7, Issue 2 (30 Apr. 2010), pp.213-222, 10 p.
Publisher
Publication Date
2010-04-30
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Topics
Abstract EN
The left ventricle tracking in planar scintigraphic images is an important step to study the coronary state.
However, it is not as simple as we thought, because of the bad quality of these images.
The study of the related work showed that classic methods based on low level image characteristics failed to localize the ventricle.
In this paper, we suggest using a method based on a priori knowledge.
Assuming that the human heart can appear in different images as one of a variety of possible shapes, we can incorporate the shape and the texture to delineate the boundaries of the left ventricle.
American Psychological Association (APA)
Khalifah, Nawres& Utaybi, Said& Wahbi, Yosra& Hamrouni, Kamal. 2010. Left ventricle tracking in isotopic ventriculography using statistical deformable models. The International Arab Journal of Information Technology،Vol. 7, no. 2, pp.213-222.
https://search.emarefa.net/detail/BIM-177820
Modern Language Association (MLA)
Khalifah, Nawres…[et al.]. Left ventricle tracking in isotopic ventriculography using statistical deformable models. The International Arab Journal of Information Technology Vol. 7, no. 2 (Apr. 2010), pp.213-222.
https://search.emarefa.net/detail/BIM-177820
American Medical Association (AMA)
Khalifah, Nawres& Utaybi, Said& Wahbi, Yosra& Hamrouni, Kamal. Left ventricle tracking in isotopic ventriculography using statistical deformable models. The International Arab Journal of Information Technology. 2010. Vol. 7, no. 2, pp.213-222.
https://search.emarefa.net/detail/BIM-177820
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 221-222
Record ID
BIM-177820