ArticleShape in Medical Imaging : International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings2020
Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints.
Article in Shape in Medical Imaging : International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- An Exploratory Statistical Shape Modeling Analysis of Three-Dimensional Foot Alignment in Female Patients With Progressive Collapsing Foot Deformity.Journal of foot and ankle research · 2026Article
- Morphology of the scaphotrapeziotrapezoid joint: A multi-domain statistical shape modeling approach.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024Article
- Statistical multi-level shape models for scalable modeling of multi-organ anatomies.Frontiers in bioengineering and biotechnology · 2023Article
- Prediction of femoral head coverage from articulated statistical shape models of patients with developmental dysplasia of the hip.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022Article
- Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach.Scientific reports · 2021Article
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Authors and funding
5 authors.
Funding
Abstract
Quantifying shape variations in articulated joints is of utmost interest to understand the underlying joint biomechanics and associated clinical symptoms. For joint comparisons and analysis, the relative positions of the bones can confound subsequent analysis. Clinicians design specific image acquisition protocols to neutralize the individual pose variations. However, recent studies have shown that even specific acquisition protocols fail to achieve consistent pose. The individual pose variations are largely attributed to the day-to-day functioning of the patient, such as gait during walk, as well as interactions between specific morphologies and joint alignment. This paper presents a novel two-step method to neutralize such patient-specific variations while simultaneously preserving the inherent relationship of the articulated joint. The resulting shape models are then used to discover clinically relevant shape variations in a population of hip joints.
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Registered trials
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