Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist
This paper describes a method based on an automatic segmentation process to coregister carpal bones of the same patient imaged at different time points. A rigid registration was chosen to avoid artificial bone deformations and to allow finding eventual differences in the bone shape due to erosion, d...
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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2017/7232751 |
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doaj-fcc4645a0e684047b73533d453452e522020-11-25T00:35:35ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962017-01-01201710.1155/2017/72327517232751Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the WristRoberta Ferretti0Silvana G. Dellepiane1DITEN, Università degli Studi di Genova, Via Opera Pia 11a, 16145 Genova, ItalyDITEN, Università degli Studi di Genova, Via Opera Pia 11a, 16145 Genova, ItalyThis paper describes a method based on an automatic segmentation process to coregister carpal bones of the same patient imaged at different time points. A rigid registration was chosen to avoid artificial bone deformations and to allow finding eventual differences in the bone shape due to erosion, disease regression, or other eventual pathological signs. The actual registration step is performed on the basis of principal inertial axes of each carpal bone volume, as estimated from the inertia matrix. In contrast to already published approaches, the proposed method suggests splitting the 3D rotation into successive rotations about one axis at a time (the so-called basic or elemental rotations). In such a way, singularity and ambiguity drawbacks affecting other classical methods, for instance, the Euler angles method, are addressed. The proposed method was quantitatively evaluated using a set of real magnetic resonance imaging (MRI) sequences acquired at two different times from healthy wrists and by choosing a direct volumetric comparison as a cost function. Both the segmentation and registration steps are not based on a priori models, and they are therefore able to obtain good results even in pathological cases, as proven by the visual evaluation of actual pathological cases.http://dx.doi.org/10.1155/2017/7232751 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Roberta Ferretti Silvana G. Dellepiane |
spellingShingle |
Roberta Ferretti Silvana G. Dellepiane Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist International Journal of Biomedical Imaging |
author_facet |
Roberta Ferretti Silvana G. Dellepiane |
author_sort |
Roberta Ferretti |
title |
Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist |
title_short |
Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist |
title_full |
Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist |
title_fullStr |
Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist |
title_full_unstemmed |
Multitemporal Volume Registration for the Analysis of Rheumatoid Arthritis Evolution in the Wrist |
title_sort |
multitemporal volume registration for the analysis of rheumatoid arthritis evolution in the wrist |
publisher |
Hindawi Limited |
series |
International Journal of Biomedical Imaging |
issn |
1687-4188 1687-4196 |
publishDate |
2017-01-01 |
description |
This paper describes a method based on an automatic segmentation process to coregister carpal bones of the same patient imaged at different time points. A rigid registration was chosen to avoid artificial bone deformations and to allow finding eventual differences in the bone shape due to erosion, disease regression, or other eventual pathological signs. The actual registration step is performed on the basis of principal inertial axes of each carpal bone volume, as estimated from the inertia matrix. In contrast to already published approaches, the proposed method suggests splitting the 3D rotation into successive rotations about one axis at a time (the so-called basic or elemental rotations). In such a way, singularity and ambiguity drawbacks affecting other classical methods, for instance, the Euler angles method, are addressed. The proposed method was quantitatively evaluated using a set of real magnetic resonance imaging (MRI) sequences acquired at two different times from healthy wrists and by choosing a direct volumetric comparison as a cost function. Both the segmentation and registration steps are not based on a priori models, and they are therefore able to obtain good results even in pathological cases, as proven by the visual evaluation of actual pathological cases. |
url |
http://dx.doi.org/10.1155/2017/7232751 |
work_keys_str_mv |
AT robertaferretti multitemporalvolumeregistrationfortheanalysisofrheumatoidarthritisevolutioninthewrist AT silvanagdellepiane multitemporalvolumeregistrationfortheanalysisofrheumatoidarthritisevolutioninthewrist |
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