Estimation of hip joint center from the external body shape: a preliminary study
| Autor: | Wafa Skalli, Xuguang Wang, Agathe Nérot, Hélène Pillet |
|---|---|
| Přispěvatelé: | Institut de Biomécanique Humaine Georges Charpak (IBHGC), Université Sorbonne Paris Nord-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Laboratoire de biomécanique (LBM), Université Sorbonne Paris Cité (USPC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Sorbonne Paris Nord, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Computer science
Radiography [SDV]Life Sciences [q-bio] Biomedical Engineering Bioengineering Palpation Cadaver Medical imaging medicine Femur Hip joint Joint (geology) Pelvis Orthodontics biplanar X-rays medicine.diagnostic_test business.industry external predictors General Medicine Anatomy Computer Science Applications Human-Computer Interaction medicine.anatomical_structure Sciences du vivant business Envelope (motion) |
| Zdroj: | Computer Methods in Biomechanics and Biomedical Engineering 40ème congrès de la Société de Biomécanique Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, 2015, 18, pp.2018-2019. ⟨10.1080/10255842.2015.1069603⟩ |
| ISSN: | 1025-5842 1476-8259 |
| DOI: | 10.1080/10255842.2015.1069603⟩ |
| Popis: | International audience; Human external shape model is becoming easily available using scanning technology, stereophotogram- metry, or Microsoft Kinect systems. However locating the internal skeleton from the external shape remains a challenging issue. Using low dose biplanar radiographs of the whole body, subject-specific 3D reconstructions of the bones and the surface envelope have been developed, providing data of both external body shape and internal skeleton (Dubousset et al. 2010). The basic idea of this research project was to explore the relationships between characteristics of internal skeleton and those of external body shape. Hip joint center (HJC) prediction was considered in this preliminary study. Subject-specific HJC prediction is cur- rently performed either using functional methods based on the relative motion of the femur and pelvis, or predictive methods relying on empirical regression equations using palpable femoral and pelvic landmarks as predictors. Yet functional methods may be ineffective when hip motion is limited. Different regressions between HJC and predictive landmarks were established based on direct measurements on pelvic and femoral bone specimen surface, using cadav- ers, medical imaging or 3D CT-scans (Peng et al. 2015). However, in most applications when medical imaging is not available, manual palpation over the skin of the bony predictors might increase the prediction error on HJC compared to cases where bone information is available directly (Sholukha et al. 2011, Sangeux et al. 2014). In this paper, new predictors from external body shape were explored for HJC prediction. |
| Databáze: | OpenAIRE |
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