Effects of soft tissue artifacts on differentiating kinematic differences between natural and replaced knee joints during functional activity

Lin, Cheng‐Chung; Lu, Tung‐Wu; Lu, Hsuan-Lun; Kuo, Mei‐Ying; Hsu, Horng‐Chaung

doi:10.1016/j.gaitpost.2016.03.006

Cited by 15 publications

(13 citation statements)

References 29 publications

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Section: Introductionmentioning

confidence: 99%

“…The amplitudes and patterns of STA displacements have been widely studied for human lower limbs [ 10 ], as have their cumulative effects on the calculated mechanical variables [ 11 – 13 ]. In this context, STA amplitudes are inconsistent among different marker locations [ 14 ], motion tasks [ 10 ], and subjects’ body characteristics [ 11 ] and are affected by several factors associated with stable and variable components [ 15 ]. The former factors are the result of soft tissue stretching and sliding in relation to the adjacent joint motion [ 16 , 17 ], while the latter factors can be affected by the segmental deformation created during muscle activity [ 15 ] and possibly by the wobbling effects of soft tissues during vigorous activity.…”

Section: Introductionmentioning

confidence: 99%

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Quantification of three-dimensional soft tissue artifacts in the canine hindlimb during passive stifle motion

Lin

Chang

et al. 2018

BMC Vet Res

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BackgroundThree-dimensional joint kinematics during canine locomotion are commonly measured using skin marker-based stereophotogrammetry technologies. However, marker-related errors caused by the displacement of the skin surface relative to the underlying bones (i.e., soft tissue artifacts, STA) may affect the accuracy of the measurements and obscure clinically relevant information. Few studies have assessed STA in canine limbs during kinematic analysis. The magnitudes and patterns of the STA and their influence on kinematic analysis remain unclear. Therefore, the current study aims to quantify the in vivo STA of skin markers on the canine thigh and crus during passive joint motion. The stifle joints of ten dogs were passively extended while the skin markers were measured using a motion capture system, and skeletal kinematics were determined using a CT-to-fluoroscopic image registration method.ResultsThe skin markers exhibited considerable STA relative to the underlying bones, with a peak amplitude of 27.4 mm for thigh markers and 28.7 mm for crus markers; however, the amplitudes and displacement directions at different attachment sites were inconsistent. The markers on the cranial thigh and lateral crus closer to the stifle joint had greater STA amplitudes in comparison to those of other markers. Most markers had STA with linear and quadratic patterns against the stifle flexion angles. These STA resulted in underestimated flexion angles but overestimated adduction and internal rotation when the stifle was flexed to greater than 90°.ConclusionsMarker displacements relative to the underlying bones were prominent in the cranial aspect of the thigh and the proximal-lateral aspect of the crus. The calculated stifle kinematic variables were also affected by the STA. These findings can provide a reference for marker selection in canine motion analysis for similar motion tasks and clarify the relationship between STA patterns and stifle kinematics; the results may therefore contribute to the development of STA models and compensation techniques for canine motion analysis.Electronic supplementary materialThe online version of this article (10.1186/s12917-018-1714-7) contains supplementary material, which is available to authorized users.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantification of three-dimensional soft tissue artifacts in the canine hindlimb during passive stifle motion

Lin

Chang

et al. 2018

BMC Vet Res

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“…Detailed knowledge of the skeletal knee kinematics is very important to assess pathologies of the lower limb [1][2][3] . Accurately measured tibiofemoral kinematics is also useful for evaluation of surgical techniques such as implantation of artificial knee implants [4,5] and for the development and validation of computer models (e.g. musculoskeletal models) capable of simulating normal and pathological human movement [6,7] .…”

Section: Introductionmentioning

confidence: 99%

“…A wide variety of studies have investigated the quantification and influences of STA in the lower limb during different motor tasks [5,[10][11][12][13][14][15][16][17][18][19][20][21] . These studies found that STA were greater for the thigh than for the shank, with STA errors as high as 50 mm [7] .…”

Section: Introductionmentioning

confidence: 99%

Measuring relative positions and orientations of the tibia with respect to the femur using one-channel 3D-tracked A-mode ultrasound tracking system: A cadaveric study

Niu

Homminga

Sluiter

et al. 2018

Medical Engineering & Physics

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The purpose of this study is to investigate the technical feasibility of measuring relative positions and orientations of the tibia with respect to the femur in an in-vitro experiment by using a 3D-tracked A-mode ultrasound system and to determine its accuracy of angular and translational measurements. As A-mode ultrasound is capable of detecting bone surface through soft tissue in a non-invasive manner, the combination of a single A-mode ultrasound transducer with an optical motion tracking system provides the possibility for digitizing the 3D locations of bony points at different anatomical regions on the thigh and the shank. After measuring bony points over a large area of both the femur and tibia, the bone models of the femur and tibia that were segmented from CT or MRI images were registered to the corresponding bony points. Then the relative position of the tibia with respect to the femur could be obtained and the angular and translational components could also be measured. A cadaveric experiment was conducted to assess its accuracy compared to the reference measurement obtained by optical markers fixed to intra-cortical bone pins placed in the femur and tibia. The results showed that the ultrasound system could achieve 0.49 ± 0.83°, 0.85 ± 1.86° and 1.85 ± 2.78° (mean ± standard deviation) errors for Flexion-Extension, Adduction-Abduction and External-Internal rotations, respectively, and -2.22 ± 3.62 mm, -2.80 ± 2.35 mm and -1.44 ± 2.90 mm errors for Anterior-Posterior, Proximal-Distal and Lateral-Medial translations, respectively. It was concluded that this technique is feasible and facilitates the integration of arrays of A-mode ultrasound transducers with an optical motion tracking system for non-invasive dynamic tibiofemoral kinematics measurement.

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“…Soft-tissue artefacts (STA) are another relevant factor, since they are a major cause of errors in human movement analysis and of disparities between studies using different subjects and tasks (Lin et al, 2016). STA have a complex nature; they are correlated with bone motion and operate at the level of both individual markers and the whole cluster.…”

Section: Introductionmentioning

confidence: 99%

Analytical study of the effects of soft tissue artefacts on functional techniques to define axes of rotation

Rosario

Page

Besa

2017

Journal of Biomechanics

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The accurate location of the main axes of rotation (AoR) is a crucial step in many applications of human movement analysis. There are different formal methods to determine the direction and position of the AoR, whose performance varies across studies, depending on the pose and the source of errors. Most methods are based on minimizing squared differences between observed and modelled marker positions or rigid motion parameters, implicitly assuming independent and uncorrelated errors, but the largest error usually results from soft tissue artefacts (STA), which do not have such statistical properties and are not effectively cancelled out by such methods. However, with adequate methods it is possible to assume that STA only account for a small fraction of the observed motion and to obtain explicit formulas through differential analysis that relate STA components to the resulting errors in AoR parameters. In this paper such formulas are derived for three different functional calibration techniques (Geometric Fitting, mean Finite Helical Axis, and SARA), to explain why each technique behaves differently from the others, and to propose strategies to compensate for those errors. These techniques were tested with published data from a sit-to-stand activity, where the true axis was defined using bi-planar fluoroscopy. All the methods were able to estimate the direction of the AoR with an error of less than 5°, whereas there were errors in the location of the axis of 30-40mm. Such location errors could be reduced to less than 17mm by the methods based on equations that use rigid motion parameters (mean Finite Helical Axis, SARA) when the translation component was calculated using the three markers nearest to the axis.

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Effects of soft tissue artifacts on differentiating kinematic differences between natural and replaced knee joints during functional activity

Cited by 15 publications

References 29 publications

Quantification of three-dimensional soft tissue artifacts in the canine hindlimb during passive stifle motion

Quantification of three-dimensional soft tissue artifacts in the canine hindlimb during passive stifle motion

Measuring relative positions and orientations of the tibia with respect to the femur using one-channel 3D-tracked A-mode ultrasound tracking system: A cadaveric study

Analytical study of the effects of soft tissue artefacts on functional techniques to define axes of rotation

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