Glenohumeral joint kinematics measured by intracortical pins, reflective markers, and computed tomography: A novel technique to assess acromiohumeral distance

Maso, Fabien Dal; Blache, Yoann; Raison, Maxime; Lundberg, Arne; Begon, Mickaël

doi:10.1016/j.jelekin.2015.07.008

Cited by 11 publications

(7 citation statements)

References 42 publications

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“…Marker occlusions were reported. As said in previous studies (Dal Maso et al, 2016, the scapula pin in two participants rotated slightly. Also, due to discomfort related to the invasiveness of the protocol, one other participant was not able to perform arm elevation movements above 120°.…”

Section: Experimental Datasupporting

confidence: 65%

Effect of various upper limb multibody models on soft tissue artefact correction: A case study

Naaïm

Moissenet²,

Duprey

et al. 2017

Journal of Biomechanics

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Soft tissue artefacts (STA) introduce errors in joint kinematics when using cutaneous markers, especially on the scapula. Both segmental optimisation and multibody kinematics optimisation (MKO) algorithms have been developed to improve kinematics estimates. MKO based on a chain model with joint constraints avoids apparent joint dislocation but is sensitive to the biofidelity of chosen joint constraints. Since no recommendation exists for the scapula, our objective was to determine the best models to accurately estimate its kinematics. One participant was equipped with skin markers and with an intracortical pin screwed in the scapula. Segmental optimisation and MKO for 24-chain models (including four variations of the scapulothoracic joint) were compared against the pin-derived kinematics using root mean square error (RMSE) on Cardan angles. Segmental optimisation led to an accurate scapula kinematics (1.1°≤RMSE≤3.3°) even for high arm elevation angles. When MKO was applied, no clinically significant difference was found between the different scapulothoracic models (0.9°≤RMSE≤4.1°) except when a free scapulothoracic joint was modelled (1.9°≤RMSE≤9.6°). To conclude, using MKO as a STA correction method was not more accurate than segmental optimisation for estimating scapula kinematics.

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Section: Experimental Datasupporting

confidence: 65%

Effect of various upper limb multibody models on soft tissue artefact correction: A case study

Naaïm

Moissenet²,

Duprey

et al. 2017

Journal of Biomechanics

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“…The movement between markers attached to the skin surface, as used in stereophotogrammetry for the analysis of human motion, and the underlying bone (soft tissue artefact: STA) has been investigated in various body segments and during different motor tasks. This was made possible by simultaneously monitoring the movement of the skin markers and of the underlying bone using methods such as intracortical pins (Andersen et al, 2012;Andriacchi et al, 1998;Benoit et al, 2006;Camomilla et al, 2013;Cappozzo et al, 1996;Cereatti et al, 2009;Dal Maso et al, 2016;Fuller et al, 1997;Lafortune et al, 1992;Ramsey et al, 2003;Reinschmidt et al, 1997;Westblad et al, 2000), percutaneous bone tracking devices (Houck et al, 2004;Holden et al, 1997;Manal et al, 2000), fluoroscopy (Akbarshahi et al, 2010;Charbonnier et al, 2014;Kuo et al, 2011;Sati et al, 1996;Stagni et al, 2005;Tsai et al, 2009Tsai et al, , 2011, or X-rays (Maslen and Ackland, 1994).…”

Section: Introductionmentioning

confidence: 99%

Soft tissue displacement over pelvic anatomical landmarks during 3-D hip movements

Camomilla

Bonci

Cappozzo

2017

Journal of Biomechanics

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The position, in a pelvis-embedded anatomical coordinate system, of skin points located over the following anatomical landmarks (AL) was determined while the hip assumed different spatial postures: right and left anterior superior and posterior superior iliac spines, and the sacrum. Postures were selected as occurring during walking and during a flexion-extension and circumduction movement, as used to determine the hip joint centre position (star-arc movement). Five volunteers, characterised by a wide range of body mass indices (22-37), were investigated. Subject-specific MRI pelvis digital bone models were obtained. For each posture, the pose of the pelvis-embedded anatomical coordinate system was determined by registering this bone model with points digitised over bony prominences of the pelvis, using a wand carrying a marker-cluster and stereophotogrammetry. The knowledge of how the position of the skin points varies as a function of the hip posture provided information regarding the soft tissue artefact (STA) that would affect skin markers located over those points during stereophotogrammetric movement analysis. The STA was described in terms of amplitude (relative to the position of the AL during an orthostatic posture), diameter (distance between the positions of the AL which were farthest away from each other), and pelvis orientation. The STA amplitude, exhibited, over all postures, a median [inter-quartile] value of 9[6] and 16[11]mm, for normal and overweight volunteers, respectively. STA diameters were larger for the star-arc than for the walking postures, and the direction was predominantly upwards. Consequent errors in pelvic orientation were in the range 1-9 and 4-11 degrees, for the two groups respectively.

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Section: Introductionmentioning

confidence: 99%

“…Several studies used CT scans in combination with markers attached to the skin [7][8][9][10][11] . Generally, these studies aim to evaluate movement analyses, for instance by means of kinematic validation [7,8] or the determination of joint centers [9] . Skin markers, which are used during motion tracking are assumed to represent the underlying bony structures in both static and dynamic conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, lowering the radiation dose of the segmentation scan can also influence the precision of the registration output, which also has not yet been studied for the foot and ankle. Furthermore, the precision of detecting the position of skin-mounted markers in a CT-scan has not yet been described, even though such markers are frequently used in CTscans [7][8][9][10][11] .…”

Section: Introductionmentioning

confidence: 99%

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Precision of determining bone pose and marker position in the foot and lower leg from computed tomography scans: How low can we go in radiation dose?

Schallig

Noort

Kleipool

et al. 2019

Medical Engineering & Physics

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Computed tomography (CT) imaging can be used to determine bone pose, sometimes combined with skin-mounted markers. For this specific application, a lower radiation dose than the conventional clinical dose might suffice. This study aims to determine how lowering the radiation dose of a CT-scan of the ankle and foot affects the precision of detecting bone pose and marker position. Radiation dose is proportional to tube charge. Hence, an adult cadaveric leg was scanned 10 times at four different tube charges (150, 75, 50 and 20 mAs) with a Philips Brilliance 64 CT scanner. Precision of detecting bone and marker position at 50 mAs was not significantly different from 75 mAs and from the clinically used 150 mAs, but higher than 20 mAs. Furthermore, no differences of the precision in detecting bone orientation were found. These results indicate that the radiation dose can be reduced by a factor 3 compared to the clinically usual radiation dose, without affecting the precision of detecting bone pose and marker position in the foot and ankle.

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Glenohumeral joint kinematics measured by intracortical pins, reflective markers, and computed tomography: A novel technique to assess acromiohumeral distance

Cited by 11 publications

References 42 publications

Effect of various upper limb multibody models on soft tissue artefact correction: A case study

Effect of various upper limb multibody models on soft tissue artefact correction: A case study

Soft tissue displacement over pelvic anatomical landmarks during 3-D hip movements

Precision of determining bone pose and marker position in the foot and lower leg from computed tomography scans: How low can we go in radiation dose?

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