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

Zarqa University

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