An integrated platform for hip joint osteoarthritis analysis: design, implementation and results

Autor: Caecilia Charbonnier, Christoph D. Becker, Nadia Magnenat-Thalmann, Pierre Hoffmeyer, Jacques Menetrey
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Models
Anatomic
Computer science
Osteoarthritis
Dancing/physiology
Osteoarthritis
Hip
0302 clinical medicine
Software
Software Design
Image Processing
Computer-Assisted/*instrumentation
Image Processing
Computer-Assisted
Range of Motion
Articular
Imaging
Three-Dimensional
030222 orthopedics
medicine.diagnostic_test
ddc:617
Magnetic Resonance Imaging
General Medicine
Computer Graphics and Computer-Aided Design
Computer Science Applications
Software design
Hip Joint
Computer Vision and Pattern Recognition
Joint (audio engineering)
Range of motion
musculoskeletal diseases
medicine.medical_specialty
Range of Motion
Articular/physiology
Biomedical Engineering
Health Informatics
Motion capture
ddc:616.0757
03 medical and health sciences
Physical medicine and rehabilitation
medicine
Humans
Radiology
Nuclear Medicine and imaging
Hip Joint/*anatomy & histology/physiopathology
Dancing
Simulation
Analysis design
Osteoarthritis
Hip/*physiopathology
business.industry
Magnetic resonance imaging
030229 sport sciences
medicine.disease
Surgery
business
Zdroj: International Journal of Computer Assisted Radiology and Surgery, Vol. 5, No 4 (2010) pp. 351-358
ISSN: 1861-6410
Popis: PURPOSE: We present a software designed to improve hip joint osteoarthritis (OA) understanding using 3D anatomical models, magnetic resonance imaging (MRI) and motion capture. METHODS: In addition to a standard static clinical evaluation (anamnesis, medical images examination), the software provides a dynamic assessment of the hip joint. The operator can compute automatically and in real-time the hip joint kinematics from optical motion capture data. From the estimated motion, the software allows for the calculation of the active range of motion, the congruency and the center of rotation of the hip joint and the detection and localization of the femoroacetabular impingement region. All these measurements cannot be performed clinically. Moreover, to improve the subjective reading of medical images, the software provides a set of 3D measurement tools based on MRI and 3D anatomical models to assist and improve the analysis of hip morphological abnormalities. Finally, the software is driven by a medical ontology to support data storage, processing and analysis. RESULTS: We performed an in vivo assessment of the software in a clinical study conducted with 30 professional ballet dancers, a population who are at high risk of developing OA. We studied the causes of OA in this selected population. Our results show that extreme motion exposes the morphologically "normal" dancer's hip to recurrent superior or posterosuperior FAI and to joint subluxation. CONCLUSION: Our new hip software includes all the required materials and knowledge (images data, 3D models, motion, morphological measurements, etc.) to improve orthopedists' performances in hip joint OA analysis.
Databáze: OpenAIRE
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