Regularized B-spline deformable registration for respiratory motion correction in PET images.
A major challenge in thoracic PET imaging is respiratory motion, which degrades image quality to the extent that it can affect subsequent diagnosis and patient management. This paper presents an approach to overcoming this problem using a deformable registration algorithm for respiratory gated PET i...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
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2009
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| _version_ | 1797052898307211264 |
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| author | Bai, W Brady, M |
| author_facet | Bai, W Brady, M |
| author_sort | Bai, W |
| collection | OXFORD |
| description | A major challenge in thoracic PET imaging is respiratory motion, which degrades image quality to the extent that it can affect subsequent diagnosis and patient management. This paper presents an approach to overcoming this problem using a deformable registration algorithm for respiratory gated PET images. Registration is based entirely on PET images without increasing the radiation burden. A Markov random field regularizer is introduced to the registration, which penalizes noisy deformation fields. Experimental results on both simulated and real data show that regularized registration effectively suppresses the noise in images, yielding satisfactory deformation fields. In addition, motion correction using the registration algorithm significantly improves the quality of PET images. |
| first_indexed | 2024-03-06T18:37:09Z |
| format | Journal article |
| id | oxford-uuid:0ba1a19e-9214-4d11-9310-62305be9ac5a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T18:37:09Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | oxford-uuid:0ba1a19e-9214-4d11-9310-62305be9ac5a2022-03-26T09:30:30ZRegularized B-spline deformable registration for respiratory motion correction in PET images.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:0ba1a19e-9214-4d11-9310-62305be9ac5aEnglishSymplectic Elements at Oxford2009Bai, WBrady, MA major challenge in thoracic PET imaging is respiratory motion, which degrades image quality to the extent that it can affect subsequent diagnosis and patient management. This paper presents an approach to overcoming this problem using a deformable registration algorithm for respiratory gated PET images. Registration is based entirely on PET images without increasing the radiation burden. A Markov random field regularizer is introduced to the registration, which penalizes noisy deformation fields. Experimental results on both simulated and real data show that regularized registration effectively suppresses the noise in images, yielding satisfactory deformation fields. In addition, motion correction using the registration algorithm significantly improves the quality of PET images. |
| spellingShingle | Bai, W Brady, M Regularized B-spline deformable registration for respiratory motion correction in PET images. |
| title | Regularized B-spline deformable registration for respiratory motion correction in PET images. |
| title_full | Regularized B-spline deformable registration for respiratory motion correction in PET images. |
| title_fullStr | Regularized B-spline deformable registration for respiratory motion correction in PET images. |
| title_full_unstemmed | Regularized B-spline deformable registration for respiratory motion correction in PET images. |
| title_short | Regularized B-spline deformable registration for respiratory motion correction in PET images. |
| title_sort | regularized b spline deformable registration for respiratory motion correction in pet images |
| work_keys_str_mv | AT baiw regularizedbsplinedeformableregistrationforrespiratorymotioncorrectioninpetimages AT bradym regularizedbsplinedeformableregistrationforrespiratorymotioncorrectioninpetimages |