Joint Segmentation and Groupwise Registration of Cardiac Perfusion Images Using Temporal Information. (11th June 2012)

• Record Type: Journal Article
• Authors: Mahapatra, Dwarikanath
• Other Names: Han C.-C. Academic Editor.; Li S. Academic Editor.; Mukherjee D. P. Academic Editor.
• Is Part Of: ISRN machine vision. Volume 2012(2012)
• Publication Date: 2012-06-11
• Subjects: Computer vision -- Periodicals; Computer vision; Periodicals; Electronic journals; 006.37
• DOI: 10.5402/2012/705853
• Languages: English
• ISSNs: 2090-7796

Abstract

Abstract : 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.