Reliability and robustness of muscle architecture measurements obtained using diffusion tensor imaging with anatomically constrained tractography

Bolsterlee, Bart; D’Souza, Arkiev; Herbert, Robert D.

doi:10.1016/j.jbiomech.2019.01.043

Cited by 51 publications

(102 citation statements)

References 41 publications

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“…Large parts of the MG surface are covered by aponeuroses, so unlike the block simulations, we included superficial and deep aponeuroses in these simulations to better mimic the behaviour of the whole muscle during contraction. Aponeuroses are thin and difficult to discern on MRI scans so we identified them as regions where the muscle fibres intersect with the muscle surface: these fibres (4,039–7,745 per participant) were tracked using tractography methods on the DTI data, described in Bolsterlee et al ( 2019 ). We added new hexahedral elements to the outside of the muscle surface where the aponeuroses had been identified.…”

Section: Methodsmentioning

confidence: 99%

“…We determined muscle fibre orientations from the DTI scans (Bolsterlee et al, 2019 ), assuming that the primary eigenvector of the diffusion tensor aligned with muscle fibre orientations (Damon et al, 2002 ). First, DTI scans were filtered using a local principal component analysis filter (Manjon et al, 2013 ), after which the diffusion tensor was reconstructed using DSI Studio (Yeh et al, 2013 ).…”

Section: Appendix I Details Of Model Formulationmentioning

confidence: 99%

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The Energy of Muscle Contraction. I. Tissue Force and Deformation During Fixed-End Contractions

et al. 2020

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During contraction the energy of muscle tissue increases due to energy from the hydrolysis of ATP. This energy is distributed across the tissue as strain-energy potentials in the contractile elements, strain-energy potential from the 3D deformation of the base-material tissue (containing cellular and extracellular matrix effects), energy related to changes in the muscle's nearly incompressible volume and external work done at the muscle surface. Thus, energy is redistributed through the muscle's tissue as it contracts, with only a component of this energy being used to do mechanical work and develop forces in the muscle's longitudinal direction. Understanding how the strain-energy potentials are redistributed through the muscle tissue will help enlighten why the mechanical performance of whole muscle in its longitudinal direction does not match the performance that would be expected from the contractile elements alone. Here we demonstrate these physical effects using a 3D muscle model based on the finite element method. The tissue deformations within contracting muscle are large, and so the mechanics of contraction were explained using the principles of continuum mechanics for large deformations. We present simulations of a contracting medial gastrocnemius muscle, showing tissue deformations that mirror observations from magnetic resonance imaging. This paper tracks the redistribution of strain-energy potentials through the muscle tissue during fixed-end contractions, and shows how fibre shortening, pennation angle, transverse bulging and anisotropy in the stress and strain of the muscle tissue are all related to the interaction between the material properties of the muscle and the action of the contractile elements.

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Section: Methodsmentioning

confidence: 99%

Section: Appendix I Details Of Model Formulationmentioning

confidence: 99%

The Energy of Muscle Contraction. I. Tissue Force and Deformation During Fixed-End Contractions

et al. 2020

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“…The triceps surae muscles share a common series elastic element in the Achilles tendon but are an anatomically complicated group of muscles that may experience complex changes with age. The biarticular gastrocnemius and uniarticular soleus muscles within this group differ greatly in volume (Ward et al, 2009;Handsfield et al, 2014), architecture (Ward et al, 2009;Rana et al, 2013;Dalmau-Pastor et al, 2014;Bolsterlee et al, 2019), and fiber type (Johnson et al, 1973). It is not surprising that empirical and modeling studies suggest functional differences between these muscles, predicting unequal contributions to propulsion and support during walking (Neptune et al, 2001;Anderson and Pandy, 2003;McGowan et al, 2008;Francis et al, 2013).…”

Section: Introductionmentioning

confidence: 93%

Achilles Tendon Morphology Is Related to Triceps Surae Muscle Size and Peak Plantarflexion Torques During Walking in Young but Not Older Adults

Knaus

Ebrahimi

Martin

et al. 2020

Front. Sports Act. Living

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The interaction of the triceps surae muscles and the Achilles tendon is critical in producing the ankle plantarflexion torque required for human walking. Deficits in plantarflexor output are a hallmark of reduced mobility in older adults and are likely associated with changes in the triceps surae muscles that occur with age. Structural differences between young and older adults have been observed in the Achilles tendon and in the triceps surae muscles. However, less is known about how age-related differences in muscle and tendon morphology correspond with each other and, furthermore, how those morphology differences correlate with age-related deficits in function. The goal of this work was to investigate whether there is a correlation between age-related differences in triceps surae muscle size and Achilles tendon cross-sectional area (CSA) and whether either is predictive of ankle plantarflexion torque during walking. We used magnetic resonance imaging (MRI) to measure triceps surae muscle volumes and tendon CSAs in young (n = 14, age: 26 ± 4 years) and older (n = 7, age: 66 ± 5 years) adults, and we determined peak plantarflexion torques during treadmill walking. We found that individual muscle volumes as a percentage of the total triceps surae volume did not differ between young and older adults, though muscle volumes per body size (normalized by the product of height and mass) were smaller in older adults. Achilles tendon CSA was correlated with body size and muscle volumes in young adults but not in older adults. The ratio of tendon CSA to total triceps surae muscle volume was significantly greater in older adults. Peak ankle plantarflexion torque during walking correlated with body size and triceps surae volume in young and older adults but was correlated with tendon CSA only in the young adults. Structure-function relationships that seem to exist between the Achilles tendon and the triceps surae muscles in young adults are no longer evident in all older adults. Understanding mechanisms that determine altered Achilles tendon CSA in older adults may provide insight into age-related changes in function.

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“…16 Limiting tractography to a previously defined muscle volume showed reliable measurements of architecture parameters in human calf muscles. 16 This is the basis for the third concept of muscle delineation, called "volume-based tractography" (VBT). This method combines the manual and tractbased segmentation.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of interrater reliability of different muscle segmentation techniques in diffusion tensor imaging

et al. 2020

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Muscle diffusion tensor imaging (mDTI) is a quantitative MRI technique that can provide information about muscular microstructure and integrity. Ultrasound and DTI studies have shown intramuscular differences, and therefore separation of different muscles for analysis is essential. The commonly used methods to assess DTI metrics in muscles are manual segmentation and tract-based analysis. Recently methods such as volume-based tractography have been applied to optimize muscle architecture estimation, but can also be used to assess DTI metrics. Purpose: To evaluate diffusion metrics obtained using three different methods-volume-based tractography, manual segmentation-based analysis and tract-based analysis-with respect to their interrater reliability and their ability to detect intramuscular variance. Materials and methods: 30 volunteers underwent an MRI examination in a 3 T scanner using a 16-channel Torso XL coil. Diffusion-weighted images were acquired to obtain DTI metrics. These metrics were evaluated in six thigh muscles using volume-based tractography, manual segmentation and standard tractography. All three methods were performed by two independent raters to assess interrater reliability by ICC analysis and Bland-Altman plots. Ability to assess intramuscular variance was compared using an ANOVA with muscle as a between-subjects factor. Results: Interrater reliability for all methods was found to be excellent. The highest interrater reliability was found for volume-based tractography (ICC ≥ 0.967). Significant differences for the factor muscle in all examined diffusion parameters were shown in muscles using all methods (main effect p < 0.001). Conclusions: Diffusion data can be assessed by volume tractography, standard tractography and manual segmentation with high interrater reliability. Each method

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Reliability and robustness of muscle architecture measurements obtained using diffusion tensor imaging with anatomically constrained tractography

Cited by 51 publications

References 41 publications

The Energy of Muscle Contraction. I. Tissue Force and Deformation During Fixed-End Contractions

The Energy of Muscle Contraction. I. Tissue Force and Deformation During Fixed-End Contractions

Achilles Tendon Morphology Is Related to Triceps Surae Muscle Size and Peak Plantarflexion Torques During Walking in Young but Not Older Adults

Evaluation of interrater reliability of different muscle segmentation techniques in diffusion tensor imaging

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