Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms
Joint Authors
Landini, Luigi
Tucci, Francesco
Marinelli, Martina
Neglia, Danilo
Positano, Vincenzo
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-19
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
Hybrid PET/CT scanners can simultaneously visualize coronary artery disease as revealed by computed tomography (CT) and myocardial perfusion as measured by positron emission tomography (PET).
Manual registration is usually required in clinical practice to compensate spatial mismatch between datasets.
In this paper, we present a registration algorithm that is able to automatically align PET/CT cardiac images.
The algorithm bases on mutual information (MI) as registration metric and on genetic algorithm as optimization method.
A multiresolution approach was used to optimize the processing time.
The algorithm was tested on computerized models of volumetric PET/CT cardiac data and on real PET/CT datasets.
The proposed automatic registration algorithm smoothes the pattern of the MI and allows it to reach the global maximum of the similarity function.
The implemented method also allows the definition of the correct spatial transformation that matches both synthetic and real PET and CT volumetric datasets.
American Psychological Association (APA)
Marinelli, Martina& Positano, Vincenzo& Tucci, Francesco& Neglia, Danilo& Landini, Luigi. 2012. Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-481271
Modern Language Association (MLA)
Marinelli, Martina…[et al.]. Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms. The Scientific World Journal No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-481271
American Medical Association (AMA)
Marinelli, Martina& Positano, Vincenzo& Tucci, Francesco& Neglia, Danilo& Landini, Luigi. Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-481271
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-481271