Literature DB >> 24427519

Patient-specific fibre-based models of muscle wrapping.

J Kohout1, G J Clapworthy2, Y Zhao2, Y Tao2, G Gonzalez-Garcia2, F Dong2, H Wei2, E Kohoutová1.   

Abstract

In many biomechanical problems, the availability of a suitable model for the wrapping of muscles when undergoing movement is essential for the estimation of forces produced on and by the body during motion. This is an important factor in the Osteoporotic Virtual Physiological Human project which is investigating the likelihood of fracture for osteoporotic patients undertaking a variety of movements. The weakening of their skeletons makes them particularly vulnerable to bone fracture caused by excessive loading being placed on the bones, even in simple everyday tasks. This paper provides an overview of a novel volumetric model that describes muscle wrapping around bones and other muscles during movement, and which includes a consideration of how the orientations of the muscle fibres change during the motion. The method can calculate the form of wrapping of a muscle of medium size and visualize the outcome within tenths of seconds on commodity hardware, while conserving muscle volume. This makes the method suitable not only for educational biomedical software, but also for clinical applications used to identify weak muscles that should be strengthened during rehabilitation or to identify bone stresses in order to estimate the risk of fractures.

Entities:  

Keywords:  Visualization Toolkit; motion fusion; muscle wrapping; musculoskeletal modelling; patient-specific model

Year:  2013        PMID: 24427519      PMCID: PMC3638471          DOI: 10.1098/rsfs.2012.0062

Source DB:  PubMed          Journal:  Interface Focus        ISSN: 2042-8898            Impact factor:   3.906


  12 in total

1.  The Obstacle-Set Method for Representing Muscle Paths in Musculoskeletal Models.

Authors:  BRIAN A. Garner; MARCUS G. Pandy
Journal:  Comput Methods Biomech Biomed Engin       Date:  2000       Impact factor: 1.763

2.  Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity.

Authors:  A S Arnold; S Salinas; D J Asakawa; S L Delp
Journal:  Comput Aided Surg       Date:  2000

3.  Estimating muscle attachment contours by transforming geometrical bone models.

Authors:  B L Kaptein; F C T van der Helm
Journal:  J Biomech       Date:  2004-03       Impact factor: 2.712

4.  Modelling skeletal muscle fibre orientation arrangement.

Authors:  Y T Lu; H X Zhu; S Richmond; J Middleton
Journal:  Comput Methods Biomech Biomed Engin       Date:  2011-06-24       Impact factor: 1.763

Review 5.  Model-based estimation of muscle forces exerted during movements.

Authors:  Ahmet Erdemir; Scott McLean; Walter Herzog; Antonie J van den Bogert
Journal:  Clin Biomech (Bristol, Avon)       Date:  2006-10-27       Impact factor: 2.063

6.  The multimod application framework: a rapid application development tool for computer aided medicine.

Authors:  Marco Viceconti; Cinzia Zannoni; Debora Testi; Marco Petrone; Stefano Perticoni; Paolo Quadrani; Fulvia Taddei; Silvano Imboden; Gordon Clapworthy
Journal:  Comput Methods Programs Biomed       Date:  2006-10-23       Impact factor: 5.428

7.  Global optimization method for combined spherical-cylindrical wrapping in musculoskeletal upper limb modelling.

Authors:  A Audenaert; E Audenaert
Journal:  Comput Methods Programs Biomed       Date:  2008-07-07       Impact factor: 5.428

8.  A transformation method to estimate muscle attachments based on three bony landmarks.

Authors:  Ricardo Matias; Carlos Andrade; António Prieto Veloso
Journal:  J Biomech       Date:  2009-01-10       Impact factor: 2.712

Review 9.  Functional and clinical significance of skeletal muscle architecture.

Authors:  R L Lieber; J Fridén
Journal:  Muscle Nerve       Date:  2000-11       Impact factor: 3.217

10.  A model of the lower limb for analysis of human movement.

Authors:  Edith M Arnold; Samuel R Ward; Richard L Lieber; Scott L Delp
Journal:  Ann Biomed Eng       Date:  2009-12-03       Impact factor: 3.934

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  4 in total

1.  Automated muscle segmentation from CT images of the hip and thigh using a hierarchical multi-atlas method.

Authors:  Futoshi Yokota; Yoshito Otake; Masaki Takao; Takeshi Ogawa; Toshiyuki Okada; Nobuhiko Sugano; Yoshinobu Sato
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-04-06       Impact factor: 2.924

2.  Muscle Synergy Constraints Do Not Improve Estimates of Muscle Activity From Static Optimization During Gait for Unimpaired Children or Children With Cerebral Palsy.

Authors:  Benjamin R Shuman; Marije Goudriaan; Kaat Desloovere; Michael H Schwartz; Katherine M Steele
Journal:  Front Neurorobot       Date:  2019-12-17       Impact factor: 2.650

3.  Automated Generation of Three-Dimensional Complex Muscle Geometries for Use in Personalised Musculoskeletal Models.

Authors:  Luca Modenese; Josef Kohout
Journal:  Ann Biomed Eng       Date:  2020-03-17       Impact factor: 3.934

4.  Mechanics of Psoas Tendon Snapping. A Virtual Population Study.

Authors:  Emmanuel A Audenaert; Vikas Khanduja; Peter Claes; Ajay Malviya; Gunther Steenackers
Journal:  Front Bioeng Biotechnol       Date:  2020-03-27
  4 in total

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