Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution
Purpose. To provide PET/CT image fusion with an improved PET resolution and better contrast ratios than standard reconstructions. Method. Using a super-resolution algorithm, several PET acquisitions were combined to improve the resolution. In addition, functional PET data was smoothed with a hybrid...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2007-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2007/46846 |
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| _version_ | 1832551267057008640 |
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| author | John A. Kennedy Ora Israel Alex Frenkel Rachel Bar-Shalom Haim Azhari |
| author_facet | John A. Kennedy Ora Israel Alex Frenkel Rachel Bar-Shalom Haim Azhari |
| author_sort | John A. Kennedy |
| collection | DOAJ |
| description | Purpose. To provide PET/CT image fusion with an improved PET resolution and better contrast ratios than standard reconstructions. Method. Using a super-resolution algorithm, several PET acquisitions were combined to
improve the resolution. In addition, functional PET data was smoothed with a hybrid
computed tomography algorithm (HCT), in which anatomical edge information taken from
the CT was employed to retain sharper edges. The combined HCT and super-resolution
technique were evaluated in phantom and patient studies using a clinical PET scanner.
Results. In the phantom studies, 3 mmF18-FDG sources were resolved. PET contrast ratios
improved (average: 54%, range: 45%–69%) relative to the standard reconstructions. In the
patient study, target-to-background ratios also improved (average: 34%, range: 17%–47%).
Given corresponding anatomical borders, sharper edges were depicted.
Conclusion. A new method incorporating super-resolution and HCT for
fusing PET and CT images has been developed and shown to provide higher-resolution metabolic images. |
| format | Article |
| id | doaj-art-a05a2a5f119c43b7adf42c27ed736fab |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2007-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-a05a2a5f119c43b7adf42c27ed736fab2025-02-03T06:01:55ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962007-01-01200710.1155/2007/4684646846Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-ResolutionJohn A. Kennedy0Ora Israel1Alex Frenkel2Rachel Bar-Shalom3Haim Azhari4Faculty of Biomedical Engineering, Technion – Israel Institute of Technology, Haifa 32000, IsraelDepartment of Nuclear Medicine, Rambam Health Care Campus, Haifa 35245, IsraelDepartment of Nuclear Medicine, Rambam Health Care Campus, Haifa 35245, IsraelDepartment of Nuclear Medicine, Rambam Health Care Campus, Haifa 35245, IsraelFaculty of Biomedical Engineering, Technion – Israel Institute of Technology, Haifa 32000, IsraelPurpose. To provide PET/CT image fusion with an improved PET resolution and better contrast ratios than standard reconstructions. Method. Using a super-resolution algorithm, several PET acquisitions were combined to improve the resolution. In addition, functional PET data was smoothed with a hybrid computed tomography algorithm (HCT), in which anatomical edge information taken from the CT was employed to retain sharper edges. The combined HCT and super-resolution technique were evaluated in phantom and patient studies using a clinical PET scanner. Results. In the phantom studies, 3 mmF18-FDG sources were resolved. PET contrast ratios improved (average: 54%, range: 45%–69%) relative to the standard reconstructions. In the patient study, target-to-background ratios also improved (average: 34%, range: 17%–47%). Given corresponding anatomical borders, sharper edges were depicted. Conclusion. A new method incorporating super-resolution and HCT for fusing PET and CT images has been developed and shown to provide higher-resolution metabolic images.http://dx.doi.org/10.1155/2007/46846 |
| spellingShingle | John A. Kennedy Ora Israel Alex Frenkel Rachel Bar-Shalom Haim Azhari Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution International Journal of Biomedical Imaging |
| title | Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution |
| title_full | Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution |
| title_fullStr | Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution |
| title_full_unstemmed | Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution |
| title_short | Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution |
| title_sort | improved image fusion in pet ct using hybrid image reconstruction and super resolution |
| url | http://dx.doi.org/10.1155/2007/46846 |
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