Image based methods to generate subject-specific musculoskeletal models for gait analysis

Abstract

Abstract. This paper describes a workflow, designed to build detailed, subject-specific musculoskeletal models using magnetic resonance (MR) images. Integration of semi-automated methods for segmentation of the bone reduced considerably the processing time. Furthermore, enhanced model quality was achieved compared to pure manual segmentation techniques. Two different semi-automated segmentation methods were tested and compared. The workflow was successfully applied to MR images of the lower extremity of a non-pathological adult subject: the femur, tibia and fibula were segmented along with lines of action of 25 muscles. D

A 3D lower limb musculoskeletal model for simultaneous estimation of musculo-tendon, joint contact, ligament and bone forces during gait

“…First, the model is based on different scaled generic models and so do not represent the real geometry of the subjects. It is well known that musculoskeletal geometry affects the forces computation (Bonnefoy et al, 2009;Carbone et al, 2012;Cleather and Bull, 2011) and that a solution is to combine medical imaging techniques with musculoskeletal modeling to improve accuracy of the models (Arnold et al, 2000;Scheys, 2005). Even if the present study uses basically generic models, it should be noted that the joint kinematic models used for tibiofemoral, patellofemoral and ankle joints may be easily adjusted to the patient's geometry using medical imaging.…”

Análisis teórico y computacional de la marcha normal y patológica: una revisión

“…Esta técnica ha permitido obtener un conjunto de patrones que permiten identificar la secuencia de activación y desactivación muscular durante un ciclo de marcha (4,20,48). Con base en ésta información y en algunas relaciones biomecánicas del movimiento, se han propuesto diferentes representaciones de la marcha humana utilizando modelos musculares y articulares que aproximan, en cierto grado, la compleja interacción del sistema músculo-esquelético (49)(50)(51)(52). Estos modelos permiten representar patrones de activación muscular e identificar los principales grupos musculares que participan en la generación del movimiento, estimar la fuerza muscular y los momentos articulares generados durante la marcha (39,53).…”

“…Con el fin de desarrollar modelos que permitan analizar diferentes relaciones particulares, como por ejemplo la localización precisa de los centros de giro articulares, Scheys (52,66) ajustó las condiciones iniciales y el dominio geométrico del modelo músculo-esquelético computacional de Delp (45,62), usando las resonancias magnéticas de los pacientes. Sin embargo, esta técnica es costosa y dependiente de un procesamiento que filtre adecuadamente el ruido asociado con la captura (52,66).…”

“…Sin embargo, esta técnica es costosa y dependiente de un procesamiento que filtre adecuadamente el ruido asociado con la captura (52,66).…”

Subject-specific lower extremity modeling: personalization of musculoskeletal models using medical imaging and functional measurements

“…Musculoskeletal parameters were usually measured on cadaver specimens, but recent advancements in medical imaging such as computed tomography (CT), magnetic resonance imaging (MRI) and ultrasound have opened new possibilities for in vivo measurements. Indeed, several recent studies have focused on developing subject-specific models based on imaging or functional measurements (Koo et al, 2002;Scheys et al, 2005;Hainisch et al, 2012). However, these techniques can be computationally intensive and the extensive manual intervention required makes these approaches costly and labor-intensive.…”