Problems and solutions for the Accurate 3d Functional Modelling of the Hip and Shoulder

Magnenat‐Thalmann, Nadia; Kang, Myongjin; Goto, Taro

doi:10.1007/978-1-4471-0103-1_1

Cited by 2 publications

(3 citation statements)

References 36 publications

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“…Most fracture in bone structure occurred as a results of several loading tension, compression, bending, torsion and shear or combination between two types of them. For example, the type of fracture that occurs in tensile is the transverse fracture while in the oblique fractional compression [3].…”

Section: Fracture Mechanics Of Bonementioning

confidence: 99%

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Study of Transverse and Longitudinal Crack Propagation in Human Bone Using the Finite Element Method with MATLAB

Assi

2019

alkej

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A finite element is a study that is capable of predicting crack initiation and simulating crack propagation of human bone. The material model is implemented in MATLAB finite element package, which allows extension to any geometry and any load configuration. The fracture mechanics parameters for transverse and longitudinal crack propagation in human bone are analyzed. A fracture toughness as well as stress and strain contour are generated and thoroughly evaluated. Discussion is given on how this knowledge needs to be extended to allow prediction of whole bone fracture from external loading to aid the design of protective systems.

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Section: Fracture Mechanics Of Bonementioning

confidence: 99%

“…Segment weights expressed in percentage of total body weight. Were used [3]. In comparison to peer studies such as Jaafar et al…”

Section: A) Three Points Bendmentioning

confidence: 99%

Study of Transverse and Longitudinal Crack Propagation in Human Bone Using the Finite Element Method with MATLAB

Assi

2019

alkej

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“…The scan is extended up to the knee in order to determine the anatomical axis of the femur to perform motions of the hip joint. 4,8 In the following, the acquisition protocol is detailed:…”

Section: Anatomical Modeling Of the Hip Joint Image Acquisitionmentioning

confidence: 99%

Motion capture and visualization of the hip joint with dynamic MRI and optical systems

Yahia-Chérif

Gilles²,

Molet³

et al. 2004

Computer Animation & Virtual

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We present a methodology for motion tracking and visualization of the hip joint by combining MR images and optical motion capture systems. MRI is typically used to capture the subject's anatomy while optical systems are used to capture and analyse the relative movement between adjacent bones of the joint. Reflective markers are attached to the subject's skin and their trajectories are tracked and processed. However, the skin surface deforms while in motion due to muscle contraction leading to significant errors in the estimation of trajectories. In order to reduce these errors, we use MR images to capture both the anatomy and the trajectories of the bone. Prior to the scanning, we attach skin markers to the subject in order to analyse the markers displacements relative to the bone. We reconstruct the anatomical models of the subject and we compute the markers trajectories from the images. Using these calculated trajectories, we select the best markers configuration based on the criteria of markers displacements. The optimized configuration is used for recording external movements with the optical motion capture system. The resulting animation is mapped onto the virtual body of the subject including internal bones and the joint motion is visualized.

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Problems and solutions for the Accurate 3d Functional Modelling of the Hip and Shoulder

Cited by 2 publications

References 36 publications

Study of Transverse and Longitudinal Crack Propagation in Human Bone Using the Finite Element Method with MATLAB

Study of Transverse and Longitudinal Crack Propagation in Human Bone Using the Finite Element Method with MATLAB

Motion capture and visualization of the hip joint with dynamic MRI and optical systems

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