Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation
Tumor heterogeneity can be assessed quantitatively by analyzing dynamic contrast-enhanced imaging modalities potentially leading to improvement in the diagnosis and treatment of cancer, for example of the lung. However, the acquisition of standard lung sequences is often compromised by irregular bre...
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference item |
| Published: |
Springer Verlag
2018
|
| _version_ | 1797069280659898368 |
|---|---|
| author | Papież, B McGowan, D Skwarski, M Higgins, G Schnabel, J Brady, M |
| author_facet | Papież, B McGowan, D Skwarski, M Higgins, G Schnabel, J Brady, M |
| author_sort | Papież, B |
| collection | OXFORD |
| description | Tumor heterogeneity can be assessed quantitatively by analyzing dynamic contrast-enhanced imaging modalities potentially leading to improvement in the diagnosis and treatment of cancer, for example of the lung. However, the acquisition of standard lung sequences is often compromised by irregular breathing motion artefacts, resulting in unsystematic errors when estimating tissue perfusion parameters. In this work, we illustrate implicit deformable image registration that integrates the Demons algorithm using the local correlation coefficient as a similarity measure, and locally adaptive regularization that enables incorporation of both spatial sliding motions and irregular temporal motion patterns. We also propose a practical numerical approximation of the regularization model to improve both computational time and registration accuracy, which are important when analyzing long clinical sequences. Our quantitative analysis of 4D lung Computed Tomography and Computed Tomography Perfusion scans from clinical lung trial shows significant improvement over state-of-the-art pairwise registration approaches. |
| first_indexed | 2024-03-06T22:22:07Z |
| format | Conference item |
| id | oxford-uuid:5567b844-1837-46e2-9156-60b2f32b2f05 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T22:22:07Z |
| publishDate | 2018 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | oxford-uuid:5567b844-1837-46e2-9156-60b2f32b2f052022-03-26T16:43:47ZFast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion EstimationConference itemhttp://purl.org/coar/resource_type/c_5794uuid:5567b844-1837-46e2-9156-60b2f32b2f05Symplectic Elements at OxfordSpringer Verlag2018Papież, BMcGowan, DSkwarski, MHiggins, GSchnabel, JBrady, MTumor heterogeneity can be assessed quantitatively by analyzing dynamic contrast-enhanced imaging modalities potentially leading to improvement in the diagnosis and treatment of cancer, for example of the lung. However, the acquisition of standard lung sequences is often compromised by irregular breathing motion artefacts, resulting in unsystematic errors when estimating tissue perfusion parameters. In this work, we illustrate implicit deformable image registration that integrates the Demons algorithm using the local correlation coefficient as a similarity measure, and locally adaptive regularization that enables incorporation of both spatial sliding motions and irregular temporal motion patterns. We also propose a practical numerical approximation of the regularization model to improve both computational time and registration accuracy, which are important when analyzing long clinical sequences. Our quantitative analysis of 4D lung Computed Tomography and Computed Tomography Perfusion scans from clinical lung trial shows significant improvement over state-of-the-art pairwise registration approaches. |
| spellingShingle | Papież, B McGowan, D Skwarski, M Higgins, G Schnabel, J Brady, M Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation |
| title | Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation |
| title_full | Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation |
| title_fullStr | Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation |
| title_full_unstemmed | Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation |
| title_short | Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation |
| title_sort | fast groupwise 4d deformable image registration for irregular breathing motion estimation |
| work_keys_str_mv | AT papiezb fastgroupwise4ddeformableimageregistrationforirregularbreathingmotionestimation AT mcgowand fastgroupwise4ddeformableimageregistrationforirregularbreathingmotionestimation AT skwarskim fastgroupwise4ddeformableimageregistrationforirregularbreathingmotionestimation AT higginsg fastgroupwise4ddeformableimageregistrationforirregularbreathingmotionestimation AT schnabelj fastgroupwise4ddeformableimageregistrationforirregularbreathingmotionestimation AT bradym fastgroupwise4ddeformableimageregistrationforirregularbreathingmotionestimation |