A System for Reproducible 3D Ultrasound Measurements of Skeletal Muscles

Sahrmann, Annika S.; Handsfield, Geoffrey G.; Gizzi, Leonardo; Gerlach, Jenin; Verl, Alexander; Besier, Thor F.; Röhrle, Oliver

doi:10.1109/tbme.2024.3359854

Cited by 2 publications

(2 citation statements)

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“…We used an automated 3D ultrasound system, with an Aixplorer MACH30 (Supersonic Imagine, Aix-en-Provence, France) and a linear probe (SuperLinear SL18-5), for acquisition of 3D ultrasound data, as further described in Sahrmann et al (2024) . The system consists of three axes along which the probe is moved and a built-in force control mechanism to ensure consistent tissue deformation.…”

Section: Methodsmentioning

confidence: 99%

“…This study presents a novel approach for determining 3D deformation of the tibialis anterior (TA) muscle during dynamic movement. The approach represents an extension of an automated 3D ultrasound system for acquisition of muscle volumes in static conditions ( Sahrmann et al, 2024 ; Sahrmann et al, 2024 ), and a sophisticated implementation of the methods employed in Sahrmann et al (2022) . By using motion capture for determination of the ankle joint angle and encoder data for recording the ultrasound probe position and orientation, each 2D ultrasound image contains a corresponding probe position/orientation and an ankle joint angle.…”

Section: Introductionmentioning

confidence: 99%

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Determination of muscle shape deformations of the tibialis anterior during dynamic contractions using 3D ultrasound

Sahrmann,

Vosse,

Siebert

et al. 2024

Front. Bioeng. Biotechnol.

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PurposeIn this paper, we introduce a novel method for determining 3D deformations of the human tibialis anterior (TA) muscle during dynamic movements using 3D ultrasound.Materials and MethodsAn existing automated 3D ultrasound system is used for data acquisition, which consists of three moveable axes, along which the probe can move. While the subjects perform continuous plantar- and dorsiflexion movements in two different controlled velocities, the ultrasound probe sweeps cyclically from the ankle to the knee along the anterior shin. The ankle joint angle can be determined using reflective motion capture markers. Since we considered the movement direction of the foot, i.e., active or passive TA, four conditions occur: slow active, slow passive, fast active, fast passive. By employing an algorithm which defines ankle joint angle intervals, i.e., intervals of range of motion (ROM), 3D images of the volumes during movement can be reconstructed.ResultsWe found constant muscle volumes between different muscle lengths, i.e., ROM intervals. The results show an increase in mean cross-sectional area (CSA) for TA muscle shortening. Furthermore, a shift in maximum CSA towards the proximal side of the muscle could be observed for muscle shortening. We found significantly different maximum CSA values between the fast active and all other conditions, which might be caused by higher muscle activation due to the faster velocity.ConclusionIn summary, we present a method for determining muscle volume deformation during dynamic contraction using ultrasound, which will enable future empirical studies and 3D computational models of skeletal muscles.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determination of muscle shape deformations of the tibialis anterior during dynamic contractions using 3D ultrasound

Sahrmann,

Vosse,

Siebert

et al. 2024

Front. Bioeng. Biotechnol.

Self Cite

View full text Add to dashboard Cite

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3D ultrasound-based determination of skeletal muscle fascicle orientations

Sahrmann,

Vosse,

Siebert

et al. 2024

Biomech Model Mechanobiol

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Architectural parameters of skeletal muscle such as pennation angle provide valuable information on muscle function, since they can be related to the muscle force generating capacity, fiber packing, and contraction velocity. In this paper, we introduce a 3D ultrasound-based workflow for determining 3D fascicle orientations of skeletal muscles. We used a custom-designed automated motor driven 3D ultrasound scanning system for obtaining 3D ultrasound images. From these, we applied a custom-developed multiscale-vessel enhancement filter-based fascicle detection algorithm and determined muscle volume and pennation angle. We conducted trials on a phantom and on the human tibialis anterior (TA) muscle of 10 healthy subjects in plantarflexion (157 ± 7$$^\circ$$ ∘ ), neutral position (109 ± 7$$^\circ$$ ∘ , corresponding to neutral standing), and one resting position in between (145 ± 6$$^\circ$$ ∘ ). The results of the phantom trials showed a high accuracy with a mean absolute error of 0.92 ± 0.59$$^\circ$$ ∘ . TA pennation angles were significantly different between all positions for the deep muscle compartment; for the superficial compartment, angles are significantly increased for neutral position compared to plantarflexion and resting position. Pennation angles were also significantly different between superficial and deep compartment. The results of constant muscle volumes across the 3 ankle joint angles indicate the suitability of the method for capturing 3D muscle geometry. Absolute pennation angles in our study were slightly lower than recent literature. Decreased pennation angles during plantarflexion are consistent with previous studies. The presented method demonstrates the possibility of determining 3D fascicle orientations of the TA muscle in vivo.

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A System for Reproducible 3D Ultrasound Measurements of Skeletal Muscles

Cited by 2 publications

References 46 publications

Determination of muscle shape deformations of the tibialis anterior during dynamic contractions using 3D ultrasound

Determination of muscle shape deformations of the tibialis anterior during dynamic contractions using 3D ultrasound

3D ultrasound-based determination of skeletal muscle fascicle orientations

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