Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1100/2012/567067 |
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| _version_ | 1849690600766439424 |
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| author | Martina Marinelli Vincenzo Positano Francesco Tucci Danilo Neglia Luigi Landini |
| author_facet | Martina Marinelli Vincenzo Positano Francesco Tucci Danilo Neglia Luigi Landini |
| author_sort | Martina Marinelli |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-eb6d2ace1b4c43798df0d55f47f9a347 |
| institution | DOAJ |
| issn | 1537-744X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-eb6d2ace1b4c43798df0d55f47f9a3472025-08-20T03:21:16ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/567067567067Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic AlgorithmsMartina Marinelli0Vincenzo Positano1Francesco Tucci2Danilo Neglia3Luigi Landini4Institute of Clinical Physiology, CNR, Via Moruzzi n.1, 56124 Pisa, ItalyFondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi, 1, 56124 Pisa, ItalyDepartment of Information Engineering, University of Pisa, Via Diotisalvi, 2, 56126 Pisa, ItalyFondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi, 1, 56124 Pisa, ItalyFondazione Gabriele Monasterio, CNR-Regione Toscana, Via Moruzzi, 1, 56124 Pisa, ItalyHybrid 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.http://dx.doi.org/10.1100/2012/567067 |
| spellingShingle | Martina Marinelli Vincenzo Positano Francesco Tucci Danilo Neglia Luigi Landini Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms The Scientific World Journal |
| title | Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms |
| title_full | Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms |
| title_fullStr | Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms |
| title_full_unstemmed | Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms |
| title_short | Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms |
| title_sort | automatic pet ct image registration method based on mutual information and genetic algorithms |
| url | http://dx.doi.org/10.1100/2012/567067 |
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