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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Main Authors: Roberta Ferretti, Silvana G. Dellepiane
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2017/7232751
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spelling 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
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AT silvanagdellepiane multitemporalvolumeregistrationfortheanalysisofrheumatoidarthritisevolutioninthewrist
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