Joint Segmentation and Groupwise Registration of Cardiac Perfusion Images Using Temporal Information
Author
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-11
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Civil Engineering
Information Technology and Computer Science
Abstract EN
We propose a joint segmentation and groupwise registration method for cardiac perfusion images by using temporal information.
The nature of perfusion images makes groupwise registration especially attractive as the temporal information from the entire image sequence can be used.
Registration aims to maximize the smoothness of the intensity signal, while segmentation minimizes a pixel’s dissimilarity with other pixels having the same segmentation label.
The cost function is optimized in an iterative fashion using B-splines.
Tests on real patient datasets show that compared to two other methods, our method shows lower registration error and higher segmentation accuracy.
This is attributed to the use of temporal information for groupwise registration and mutually complementary registration and segmentation information in one framework, while other methods solve the two problems separately.
American Psychological Association (APA)
Mahapatra, Dwarikanath. 2012. Joint Segmentation and Groupwise Registration of Cardiac Perfusion Images Using Temporal Information. ISRN Machine Vision،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-492041
Modern Language Association (MLA)
Mahapatra, Dwarikanath. Joint Segmentation and Groupwise Registration of Cardiac Perfusion Images Using Temporal Information. ISRN Machine Vision No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-492041
American Medical Association (AMA)
Mahapatra, Dwarikanath. Joint Segmentation and Groupwise Registration of Cardiac Perfusion Images Using Temporal Information. ISRN Machine Vision. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-492041
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492041