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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...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1987321/ https://www.ncbi.nlm.nih.gov/pubmed/18521180 http://dx.doi.org/10.1155/2007/46846 |
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author | Kennedy, John A. Israel, Ora Frenkel, Alex Bar-Shalom, Rachel Azhari, Haim |
author_facet | Kennedy, John A. Israel, Ora Frenkel, Alex Bar-Shalom, Rachel Azhari, Haim |
author_sort | Kennedy, John A. |
collection | PubMed |
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 mm(18)F-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 | Text |
id | pubmed-1987321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-19873212008-06-02 Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution Kennedy, John A. Israel, Ora Frenkel, Alex Bar-Shalom, Rachel Azhari, Haim Int J Biomed Imaging Research Article 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 mm(18)F-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. Hindawi Publishing Corporation 2007 2006-12-24 /pmc/articles/PMC1987321/ /pubmed/18521180 http://dx.doi.org/10.1155/2007/46846 Text en Copyright © 2007 John A. Kennedy et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kennedy, John A. Israel, Ora Frenkel, Alex Bar-Shalom, Rachel Azhari, Haim Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution |
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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1987321/ https://www.ncbi.nlm.nih.gov/pubmed/18521180 http://dx.doi.org/10.1155/2007/46846 |
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