TU Darmstadt / ULB / TUbiblio

A Patient-Specific Foot Model for the Estimate of Ankle Joint Forces in Patients with Juvenile Idiopathic Arthritis

Prinold, Joe A. I. and Mazzà, Claudia and Di Marco, Roberto and Hannah, Iain and Malattia, Clara and Magni-Manzoni, Silvia and Petrarca, Maurizio and Ronchetti, Anna B. and Tanturri De Horatio, Laura and van Dijkhuizen, Pieter E.H. and Wesarg, Stefan and Viceconti, Marco (2016):
A Patient-Specific Foot Model for the Estimate of Ankle Joint Forces in Patients with Juvenile Idiopathic Arthritis.
In: Annals of Biomedical Engineering, pp. 247-257Firstonline, 44, (1), DOI: 10.1007/s10439-015-1451-z,
[Article]

Abstract

Juvenile idiopathic arthritis (JIA) is the leading cause of childhood disability from a musculoskeletal disorder. It generally affects large joints such as the knee and the ankle, often causing structural damage. Different factors contribute to the damage onset, including altered joint loading and other mechanical factors, associated with pain and inflammation. The prediction of patients' joint loading can hence be a valuable tool in understanding the disease mechanisms involved in structural damage progression. A number of lower-limb musculoskeletal models have been proposed to analyse the hip and knee joints, but juvenile models of the foot are still lacking. This paper presents a modelling pipeline that allows the creation of juvenile patient-specific models starting from lower limb kinematics and foot and ankle MRI data. This pipeline has been applied to data from three children with JIA and the importance of patient-specific parameters and modelling assumptions has been tested in a sensitivity analysis focused on the variation of the joint reaction forces. This analysis highlighted the criticality of patient-specific definition of the ankle joint axes and location of the Achilles tendon insertions. Patient-specific detection of the Tibialis Anterior, Tibialis Posterior, and Peroneus Longus origins and insertions were also shown to be important.

Item Type: Article
Erschienen: 2016
Creators: Prinold, Joe A. I. and Mazzà, Claudia and Di Marco, Roberto and Hannah, Iain and Malattia, Clara and Magni-Manzoni, Silvia and Petrarca, Maurizio and Ronchetti, Anna B. and Tanturri De Horatio, Laura and van Dijkhuizen, Pieter E.H. and Wesarg, Stefan and Viceconti, Marco
Title: A Patient-Specific Foot Model for the Estimate of Ankle Joint Forces in Patients with Juvenile Idiopathic Arthritis
Language: English
Abstract:

Juvenile idiopathic arthritis (JIA) is the leading cause of childhood disability from a musculoskeletal disorder. It generally affects large joints such as the knee and the ankle, often causing structural damage. Different factors contribute to the damage onset, including altered joint loading and other mechanical factors, associated with pain and inflammation. The prediction of patients' joint loading can hence be a valuable tool in understanding the disease mechanisms involved in structural damage progression. A number of lower-limb musculoskeletal models have been proposed to analyse the hip and knee joints, but juvenile models of the foot are still lacking. This paper presents a modelling pipeline that allows the creation of juvenile patient-specific models starting from lower limb kinematics and foot and ankle MRI data. This pipeline has been applied to data from three children with JIA and the importance of patient-specific parameters and modelling assumptions has been tested in a sensitivity analysis focused on the variation of the joint reaction forces. This analysis highlighted the criticality of patient-specific definition of the ankle joint axes and location of the Achilles tendon insertions. Patient-specific detection of the Tibialis Anterior, Tibialis Posterior, and Peroneus Longus origins and insertions were also shown to be important.

Journal or Publication Title: Annals of Biomedical Engineering
Volume: 44
Number: 1
Uncontrolled Keywords: Guiding Theme: Individual Health, Research Area: Computer graphics (CG), Research Area: (Interactive) simulation (SIM), Research Area: Modeling (MOD), Magnetic resonance imaging (MRI), Marker based tracking, Computational anatomy
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Mathematical and Applied Visual Computing
Date Deposited: 03 May 2019 07:14
DOI: 10.1007/s10439-015-1451-z
Export:
Suche nach Titel in: TUfind oder in Google

Optionen (nur für Redakteure)

View Item View Item