Performing Accurate Rigid Kinematics Measurements from 3D in vivo Image Sequences through Median Consensus Simultaneous Registration
| Autor: | T. Cresson, J.-J. Jacq, V. Burdin, Ch. Roux |
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| Přispěvatelé: | Département Image et Traitement Information (ITI), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Laboratoire de Traitement de l'Information Medicale (LaTIM), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Mines-Télécom [Paris] (IMT) |
| Rok vydání: | 2005 |
| Předmět: |
Image coding
business.industry 0206 medical engineering Image registration 030229 sport sciences 02 engineering and technology Image segmentation Kinematics 020601 biomedical engineering 03 medical and health sciences 0302 clinical medicine Robustness (computer science) Medical imaging [SDV.IB]Life Sciences [q-bio]/Bioengineering Segmentation Computer vision Artificial intelligence business Bone structure Mathematics |
| Zdroj: | Proceedings IEMBS 2005 : 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEMBS 2005 : 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEMBS 2005 : 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sep 2005, Shangai, China. pp.7676-7679, ⟨10.1109/IEMBS.2005.1616290⟩ |
| DOI: | 10.1109/iembs.2005.1616290 |
| Popis: | International audience; While focusing at accurate 3D joint kinematics, this paper explores the problem of how to perform a robust rigid registration for a sequence of object surfaces observed using standard 3D medical imaging techniques. Each object instance is assumed to give access to a polyhedral encoding of its boundary. We consider the case where object instances are noised with significant truncations and segmentation errors. The proposed method aims to tackle this problem in a global way, fully exploiting the duality between redundancy and complementarity of the available instances set. The algorithm operates through robust and simultaneous registration of all geometrical instances on a virtual instance accounting for their median consensus. When compared with standard robust techniques, trials reveal significant gains, as much in robustness as in accuracy. The considered applications are mainly focused on generating highly accurate kinematics in relation to the bone structures of the most complex joints - the tarsus and the carpus - for which no alternative examination techniques exist, enabling fine morphological analysis as well as access to internal joint motions. |
| Databáze: | OpenAIRE |
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