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Validation of three deformable image registration algorithms for the thorax
Deformable image registration (DIR) has been proposed for lung ventilation calculation using 4D CT. Spatial accuracy of DIR can be evaluated using expert landmark correspondences. Additionally, image differences between the deformed and the target images give a degree of accuracy of DIR algorithms f...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713150/ https://www.ncbi.nlm.nih.gov/pubmed/23318377 http://dx.doi.org/10.1120/jacmp.v14i1.3834 |
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author | Latifi, Kujtim Zhang, Geoffrey Stawicki, Marnix van Elmpt, Wouter Dekker, Andre Forster, Kenneth |
author_facet | Latifi, Kujtim Zhang, Geoffrey Stawicki, Marnix van Elmpt, Wouter Dekker, Andre Forster, Kenneth |
author_sort | Latifi, Kujtim |
collection | PubMed |
description | Deformable image registration (DIR) has been proposed for lung ventilation calculation using 4D CT. Spatial accuracy of DIR can be evaluated using expert landmark correspondences. Additionally, image differences between the deformed and the target images give a degree of accuracy of DIR algorithms for the same image modality registration. DIR of the normal end‐expiration (50%), end‐ inspiration (0%), midexpiration (30%), and midinspiration image (70%) phases of the 4D CT images was used to correlate the voxels between the respiratory phases. Three DIR algorithms, optical flow (OF), diffeomorphic morphons (DM), and diffeomorphic demons (DD) were validated using a 4D thorax model, consisting of a 4D CT image dataset, along with associated landmarks delineated by a radiologist. Image differences between the deformed and the target images were used to evaluate the degree of registration accuracy of the three DIR algorithms. In the validation of the DIR algorithms, the average target registration error (TRE) for normal end‐expiration‐to‐end‐inspiration registration with one standard deviation (SD) for the DIR algorithms was [Formula: see text] (maximum 3.1 mm) for OF, [Formula: see text] (maximum 3.3 mm) for DM, and [Formula: see text] (maximum 3.3 mm) for DD, indicating registration errors were within two voxels. As a reference, the median value of TRE between 0 and 50% phases with rigid registration only was 5.0 mm with one SD of 2.5 mm and the maximum value of 12.0 mm. For the OF algorithm, 81% of voxels were within a difference of 50 HU, and 93% of the voxels were within 100 HU. For the DM algorithm, 69% of voxels were within 50 HU, and 87% within 100 HU. For the DD algorithm, 71% of the voxels were within 50 HU, and 87% within a difference of 100 HU. These data suggest that the three DIR methods perform accurate registrations in the thorax region. The mean TRE for all three DIR methods was less than two voxels suggesting that the registration performed by all methods are equally accurate in the thorax. PACS number:89.90 |
format | Online Article Text |
id | pubmed-5713150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57131502018-04-02 Validation of three deformable image registration algorithms for the thorax Latifi, Kujtim Zhang, Geoffrey Stawicki, Marnix van Elmpt, Wouter Dekker, Andre Forster, Kenneth J Appl Clin Med Phys Radiation Oncology Physics Deformable image registration (DIR) has been proposed for lung ventilation calculation using 4D CT. Spatial accuracy of DIR can be evaluated using expert landmark correspondences. Additionally, image differences between the deformed and the target images give a degree of accuracy of DIR algorithms for the same image modality registration. DIR of the normal end‐expiration (50%), end‐ inspiration (0%), midexpiration (30%), and midinspiration image (70%) phases of the 4D CT images was used to correlate the voxels between the respiratory phases. Three DIR algorithms, optical flow (OF), diffeomorphic morphons (DM), and diffeomorphic demons (DD) were validated using a 4D thorax model, consisting of a 4D CT image dataset, along with associated landmarks delineated by a radiologist. Image differences between the deformed and the target images were used to evaluate the degree of registration accuracy of the three DIR algorithms. In the validation of the DIR algorithms, the average target registration error (TRE) for normal end‐expiration‐to‐end‐inspiration registration with one standard deviation (SD) for the DIR algorithms was [Formula: see text] (maximum 3.1 mm) for OF, [Formula: see text] (maximum 3.3 mm) for DM, and [Formula: see text] (maximum 3.3 mm) for DD, indicating registration errors were within two voxels. As a reference, the median value of TRE between 0 and 50% phases with rigid registration only was 5.0 mm with one SD of 2.5 mm and the maximum value of 12.0 mm. For the OF algorithm, 81% of voxels were within a difference of 50 HU, and 93% of the voxels were within 100 HU. For the DM algorithm, 69% of voxels were within 50 HU, and 87% within 100 HU. For the DD algorithm, 71% of the voxels were within 50 HU, and 87% within a difference of 100 HU. These data suggest that the three DIR methods perform accurate registrations in the thorax region. The mean TRE for all three DIR methods was less than two voxels suggesting that the registration performed by all methods are equally accurate in the thorax. PACS number:89.90 John Wiley and Sons Inc. 2013-01-07 /pmc/articles/PMC5713150/ /pubmed/23318377 http://dx.doi.org/10.1120/jacmp.v14i1.3834 Text en © 2013 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Latifi, Kujtim Zhang, Geoffrey Stawicki, Marnix van Elmpt, Wouter Dekker, Andre Forster, Kenneth Validation of three deformable image registration algorithms for the thorax |
title | Validation of three deformable image registration algorithms for the thorax |
title_full | Validation of three deformable image registration algorithms for the thorax |
title_fullStr | Validation of three deformable image registration algorithms for the thorax |
title_full_unstemmed | Validation of three deformable image registration algorithms for the thorax |
title_short | Validation of three deformable image registration algorithms for the thorax |
title_sort | validation of three deformable image registration algorithms for the thorax |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713150/ https://www.ncbi.nlm.nih.gov/pubmed/23318377 http://dx.doi.org/10.1120/jacmp.v14i1.3834 |
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