CAT & MAUS: A novel system for true dynamic motion measurement of underlying bony structures with compensation for soft tissue movement |
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| Institution: | 1. Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK;2. Oxford Orthopaedic Engineering Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK;1. Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland;2. Department of Sports Medicine, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland;1. Univ Lyon, Université Claude Bernard Lyon 1, IFSTTAR, LBMC UMR_T9406, F69622 Lyon, France;2. Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Università degli Studi di Roma “Foro Italico”, Rome, Italy;1. Instituto de Biomecánica de Valencia, Universitat Politècnica de València, Valencia, Spain;2. CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Spain;3. Centro de Investigación en Ingeniería Mecánica, Universitat Politècnica de València, Valencia, Spain;1. Laboratory of Movement Analysis and Measurement (LMAM), EPFL, Lausanne, Switzerland;2. Department of Orthopaedic Surgery and Traumatology, CHUV and University of Lausanne, Lausanne, Switzerland;3. Department of Radiology, CHUV and University of Lausanne and Clinique Bois-Cerf, Lausanne, Switzerland;1. University of Paris-Est Créteil, Laboratory of Image, Signal and Intelligent Systems, LISSI, France;2. Univ Lyon, Université Claude Bernard Lyon 1, IFSTTAR, UMR_T9406, LBMC, F69622 Lyon, France;3. Interuniversity Centre of Bioengineering of the Human Neuromusculoskeletal System, Università degli Studi di Roma “Foro Italico”, Italia;4. Department of Movement, Human, and Health Sciences, Università degli Studi di Roma “Foro Italico”, Italia;5. Department of Electrical and Computer Engineering, University of Waterloo, Canada;6. Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, Japan;7. LIRMM UMR 5506 CNRS, Montpellier University, France;8. NaturalPad, Montpellier, France;1. Department of Movement, Human and Health Sciences, Università degli Studi di Roma “Foro Italico”, Rome, Italy;2. Université de Lyon, F-69622, Lyon; IFSTTAR, LBMC, UMR_T9406, Bron; Université Lyon 1, Villeurbanne, France |
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| Abstract: | Optoelectronic motion capture systems are widely employed to measure the movement of human joints. However, there can be a significant discrepancy between the data obtained by a motion capture system (MCS) and the actual movement of underlying bony structures, which is attributed to soft tissue artefact. In this paper, a computer-aided tracking and motion analysis with ultrasound (CAT & MAUS) system with an augmented globally optimal registration algorithm is presented to dynamically track the underlying bony structure during movement. The augmented registration part of CAT & MAUS was validated with a high system accuracy of 80%. The Euclidean distance between the marker-based bony landmark and the bony landmark tracked by CAT & MAUS was calculated to quantify the measurement error of an MCS caused by soft tissue artefact during movement. The average Euclidean distance between the target bony landmark measured by each of the CAT & MAUS system and the MCS alone varied from 8.32 mm to 16.87 mm in gait. This indicates the discrepancy between the MCS measured bony landmark and the actual underlying bony landmark. Moreover, Procrustes analysis was applied to demonstrate that CAT & MAUS reduces the deformation of the body segment shape modeled by markers during motion. The augmented CAT & MAUS system shows its potential to dynamically detect and locate actual underlying bony landmarks, which reduces the MCS measurement error caused by soft tissue artefact during movement. |
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| Keywords: | Computer-aided tracking Motion analysis Ultrasound Soft tissue artefact Hip joint Gait |
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