Literature DB >> 17394084

Noninvasive determination of ligament strain with deformable image registration.

Nikhil S Phatak1, Qunli Sun, Seong-Eun Kim, Dennis L Parker, R Kent Sanders, Alexander I Veress, Benjamin J Ellis, Jeffrey A Weiss.   

Abstract

Ligament function and propensity for injury are directly related to regional stresses and strains. However, noninvasive techniques for measurement of strain are currently limited. This study validated the use of Hyperelastic Warping, a deformable image registration technique, for noninvasive strain measurement in the human medial collateral ligament using direct comparisons with optical measurements. Hyperelastic Warping determines the deformation map that aligns consecutive images of a deforming material, allowing calculation of strain. Diffeomorphic deformations are ensured by representing the deformable image as a hyperelastic material. Ten cadaveric knees were subjected to six loading scenarios each. Tissue deformation was documented with magnetic resonance imaging (MRI) and video-based experimental measurements. MRI datasets were analyzed using Hyperelastic Warping, representing the medial collateral ligament (MCL) with a hexahedral finite element (FE) model projected to a manually segmented ligament surface. The material behavior was transversely isotropic hyperelastic. Warping predictions of fiber stretch were strongly correlated with experimentally measured strains (R (2) = 0.81). Both sets of measurements were in agreement with previous ex vivo studies. Warping predictions of fiber stretch were insensitive to bulk:shear modulus ratio, fiber stiffness, and shear modulus in the range of +2.5SD to -1.0SD. Correlations degraded when the shear modulus was decreased to 2.5SD below the mean (R (2) = 0.56), and when an isotropic constitutive model was substituted for the transversely isotropic model (R (2) = 0.65). MCL strains in the transitional region near the joint line, where the material behavior and material symmetry are more complex, showed the most sensitivity to changes in shear modulus. These results demonstrate that Hyperelastic Warping requires the use of a constitutive model that reflects the material symmetry, but not subject-specific material properties for accurate strain predictions for this application. Hyperelastic Warping represents a powerful technique for noninvasive strain measurement of musculoskeletal tissues and has many advantages over other image-based strain measurement techniques.

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Mesh:

Year:  2007        PMID: 17394084     DOI: 10.1007/s10439-007-9287-9

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  15 in total

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Authors:  Steve A Maas; Gerard A Ateshian; Jeffrey A Weiss
Journal:  Annu Rev Biomed Eng       Date:  2017-06-21       Impact factor: 9.590

2.  Digital stereophotogrammetry based on circular markers and zooming cameras: evaluation of a method for 3D analysis of small motions in orthopaedic research.

Authors:  Evgenij Bobrowitsch; Christof Hurschler; Gavin Olender; Christian Plaass; Hazibullah Waizy; Heino Arnold; Christina Stukenborg-Colsman
Journal:  Biomed Eng Online       Date:  2011-02-01       Impact factor: 2.819

Review 3.  Verification, validation and sensitivity studies in computational biomechanics.

Authors:  Andrew E Anderson; Benjamin J Ellis; Jeffrey A Weiss
Journal:  Comput Methods Biomech Biomed Engin       Date:  2007-06       Impact factor: 1.763

4.  Direct measurement of intranuclear strain distributions and RNA synthesis in single cells embedded within native tissue.

Authors:  Jonathan T Henderson; Garrett Shannon; Alexander I Veress; Corey P Neu
Journal:  Biophys J       Date:  2013-11-19       Impact factor: 4.033

5.  A Plugin Framework for Extending the Simulation Capabilities of FEBio.

Authors:  Steve A Maas; Steven A LaBelle; Gerard A Ateshian; Jeffrey A Weiss
Journal:  Biophys J       Date:  2018-09-26       Impact factor: 4.033

6.  Regularization-Free Strain Mapping in Three Dimensions, With Application to Cardiac Ultrasound.

Authors:  John J Boyle; Arvin Soepriatna; Frederick Damen; Roger A Rowe; Robert B Pless; Attila Kovacs; Craig J Goergen; Stavros Thomopoulos; Guy M Genin
Journal:  J Biomech Eng       Date:  2019-01-01       Impact factor: 2.097

7.  Simple and accurate methods for quantifying deformation, disruption, and development in biological tissues.

Authors:  John J Boyle; Maiko Kume; Matthew A Wyczalkowski; Larry A Taber; Robert B Pless; Younan Xia; Guy M Genin; Stavros Thomopoulos
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

8.  Accurate high-resolution measurements of 3-D tissue dynamics with registration-enhanced displacement encoded MRI.

Authors:  Arnold D Gomez; Samer S Merchant; Edward W Hsu
Journal:  IEEE Trans Med Imaging       Date:  2014-03-14       Impact factor: 10.048

9.  Adaptive surrogate modeling for efficient coupling of musculoskeletal control and tissue deformation models.

Authors:  Jason P Halloran; Ahmet Erdemir; Antonie J van den Bogert
Journal:  J Biomech Eng       Date:  2009-01       Impact factor: 2.097

10.  Morphing methods to parameterize specimen-specific finite element model geometries.

Authors:  Ian A Sigal; Hongli Yang; Michael D Roberts; J Crawford Downs
Journal:  J Biomech       Date:  2009-10-29       Impact factor: 2.712

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