Bone Pose Estimation in the Presence of Soft Tissue Artifact Using Triangular Cosserat Point Elements

Solav, Dana; Rubin, M. B.; Cereatti, Andrea; Camomilla, Valentina; Wolf, Alon

doi:10.1007/s10439-015-1384-6

Cited by 19 publications

(21 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It was shown that, if the most accurate TCPEs could be identified at each time step, the orientation and position errors would be reasonably small, especially during stance. This result confirms that there is no synchronous rigid motion of the entire cluster relative to the underlying bone Solav et al, 2016), and that instantaneous optimal selection of sub-clusters has the potential to greatly reduce pose estimation errors. The TCPEs which obtained the smallest pose estimation errors varied greatly across time and between orientation and position, and were composed of almost all markers.…”

Section: Discussionsupporting

confidence: 69%

Bone orientation and position estimation errors using Cosserat point elements and least squares methods: Application to gait

Solav

Camomilla

Cereatti

et al. 2017

Journal of Biomechanics

Self Cite

View full text Add to dashboard Cite

The aim of this study was to analyze the accuracy of bone pose estimation based on sub-clusters of three skinmarkers characterized by triangular Cosserat point elements (TCPEs) and to evaluate the capability of four instantaneous physical parameters, which can be measured non-invasively in-vivo, to identify the most accurate TCPEs. Moreover, TCPE pose estimations were compared with the estimations of two least squares minimization methods applied to the cluster of all markers, using rigid body (RBLS) and homogeneous deformation (HDLS) assumptions. Analysis was performed on previously collected in-vivo treadmill gait data composed of simultaneous measurements of the gold-standard bone pose by bi-plane fluoroscopy tracking the subjects' knee prosthesis and a stereophotogrammetric system tracking skin-markers affected by soft tissue artifact. Femur orientation and position errors estimated from skin-marker clusters were computed for 18 subjects using clusters of up to 35 markers. Results based on gold-standard data revealed that instantaneous subsets of TCPEs exist which estimate the femur pose with reasonable accuracy (median root mean square error during stance/swing: 1.4/2.8 deg for orientation, 1.5/4.2 mm for position). A non-invasive and instantaneous criteria to select accurate TCPEs for pose estimation (4.8/7.3 deg, 5.8/12.3 mm), was compared with RBLS (4.3/6.6 deg, 6.9/16.6 mm) and HDLS (4.6/7.6 deg, 6.7/12.5 mm). Accounting for homogeneous deformation, using HDLS or selected TCPEs, yielded more accurate position estimations than RBLS method, which, conversely, yielded more accurate orientation estimations. Further investigation is required to devise effective criteria for cluster selection that could represent a significant improvement in bone pose estimation accuracy.

show abstract

Section: Discussionsupporting

confidence: 69%

Bone orientation and position estimation errors using Cosserat point elements and least squares methods: Application to gait

Solav

Camomilla

Cereatti

et al. 2017

Journal of Biomechanics

Self Cite

View full text Add to dashboard Cite

show abstract

“…Consequently, the results are dependent on the selected registration algorithm [22], [23], since there is no closed-form solution for this registration. Using our method, this problem is avoided entirely, since the correspondence between surface points is inherently tracked using 3D-DIC, thereby allowing a closed-form solution to be applied [24]. For the same reason, only 3D-DIC allows for local full-field deformation and strains measurement, while other scanning techniques can only evaluate out-of-plane displacements.…”

Section: Introductionmentioning

confidence: 99%

A Framework for Measuring the Time-Varying Shape and Full-Field Deformation of Residual Limbs Using 3-D Digital Image Correlation

Solav

Moerman

Jaeger

et al. 2019

IEEE Trans. Biomed. Eng.

Self Cite

View full text Add to dashboard Cite

Effective prosthetic socket design following lowerlimb amputation depends upon the accurate characterization of the shape of the residual limb as well as its volume and shape fluctuations. Objective: This study proposes a novel framework for the measurement and analysis of residual limb shape and deformation, using a high-resolution and low-cost system. Methods: A multi-camera system was designed to capture sets of simultaneous images of the entire residuum surface. The images were analyzed using a specially developed open-source threedimensional digital image correlation (3D-DIC) toolbox, to obtain the accurate time-varying shapes as well as the full-field deformation and strain maps on the residuum skin surface. Measurements on a transtibial amputee residuum were obtained during knee flexions, muscle contractions, and swelling upon socket removal. Results: It was demonstrated that 3D-DIC can be employed to quantify with high resolution the time-varying residuum shapes, deformations, and strains. Additionally, the enclosed volumes and cross-sectional areas were computed and analyzed. Conclusion: This novel low-cost framework provides a promising solution for the in-vivo evaluation of residuum shapes and strains, as well as the potential for characterizing the mechanical properties of the underlying soft tissues. Significance: These data may be used to inform data-driven computational algorithms for the design of prosthetic sockets, as well as of other wearable technologies mechanically interfacing with the skin.

show abstract

“…First, only one motor task (treadmill walking) was studied. Second, a marker-cluster made of all markers was analysed while combinations of multiple marker-clusters selected with different rationales (Barré et al, 2015;Grimpampi et al, 2013;Solav et al, 2016) have not been investigated. Third, the analysis was based on a modal description of the STA and the corresponding energy (i.e.…”

Section: Discussionmentioning

confidence: 99%

Assessment of the lower limb soft tissue artefact at marker-cluster level with a high-density marker set during walking

Barre

Aïssaoui

Aminian

et al. 2017

Journal of Biomechanics

View full text Add to dashboard Cite

The estimation of joint kinematics from skin markers is hindered by the soft tissue artefact (STA), a well-known phenomenon although not fully characterized. While most assessments of the STA have been performed based on the individual skin markers displacements, recent assessments were based on the marker-cluster geometrical transformations using, e.g., principal component or modal analysis. However, these marker-clusters were generally made of 4-6 markers and the current findings on the STA could have been biased by the limited number of skin makers analysed. The objective of the present study was therefore to confirm them with a high-density marker set, i.e. 40 markers placed on the segments. A larger number of modes than found in the literature was required to describe the STA. Nevertheless, translations and rotations of the marker-cluster remained the main STA modes, archetypally the translation along the proximal-distal and anterior-posterior axes for the shank and the translation along the proximal-distal axis and the rotation about the medial-lateral axis for the thigh. High correlations were also found between the knee flexion angle and the amplitude of these modes for the thigh whereas moderate ones were found for the shank. These findings support the current re-orientation of the STA compensation methods, from bone pose estimators which typically address the non-rigid components of the marker-cluster to kinematic-driven rigid-component STA models.

show abstract

Bone Pose Estimation in the Presence of Soft Tissue Artifact Using Triangular Cosserat Point Elements

Cited by 19 publications

References 35 publications

Bone orientation and position estimation errors using Cosserat point elements and least squares methods: Application to gait

Bone orientation and position estimation errors using Cosserat point elements and least squares methods: Application to gait

A Framework for Measuring the Time-Varying Shape and Full-Field Deformation of Residual Limbs Using 3-D Digital Image Correlation

Assessment of the lower limb soft tissue artefact at marker-cluster level with a high-density marker set during walking

Contact Info

Product

Resources

About