Добірка наукової літератури з теми "Soft tissue artefacts"
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Статті в журналах з теми "Soft tissue artefacts"
Dumas, R., Y. Lafon, E. Jacquelin, and L. Chèze. "Soft tissue artefacts: compensation and modelling." Computer Methods in Biomechanics and Biomedical Engineering 12, sup1 (August 2009): 103–4. http://dx.doi.org/10.1080/10255840903077345.
Повний текст джерелаChan, Janet M. "Penile shadow artefact overlapping fractures." Radiography Open 1, no. 1 (December 1, 2014): 4. http://dx.doi.org/10.7577/radopen.1202.
Повний текст джерелаLazovic, D., J. Franke, and C. J. Wirth. "Computerized Tomography and Magnetic Resonance Imaging in Treatment of Congenital Luxation of the Hip." HIP International 6, no. 3 (July 1996): 119–23. http://dx.doi.org/10.1177/112070009600600304.
Повний текст джерелаde Vries, W. H. K., H. E. J. Veeger, C. B. T. M. Baten, and F. C. T. van der Helm. "Upper extremity Load Spectrum in daily situations: System Accuracy and Soft Tissue Artefacts." Journal of Biomechanics 40 (January 2007): S424. http://dx.doi.org/10.1016/s0021-9290(07)70419-0.
Повний текст джерелаMetcalf, C. D., C. Phillips, A. Forrester, J. Glodowski, K. Simpson, C. Everitt, A. Darekar, L. King, D. Warwick, and A. S. Dickinson. "Quantifying Soft Tissue Artefacts and Imaging Variability in Motion Capture of the Fingers." Annals of Biomedical Engineering 48, no. 5 (February 19, 2020): 1551–61. http://dx.doi.org/10.1007/s10439-020-02476-2.
Повний текст джерелаGÜNTHER, MICHAEL, VIKTOR A. SHOLUKHA, DANNY KESSLER, VEIT WANK, and REINHARD BLICKHAN. "DEALING WITH SKIN MOTION AND WOBBLING MASSES IN INVERSE DYNAMICS." Journal of Mechanics in Medicine and Biology 03, no. 03n04 (September 2003): 309–35. http://dx.doi.org/10.1142/s0219519403000831.
Повний текст джерелаLu, Ming, Cheng-Chung Lin, Tung-Wu Lu, Shi-Nuan Wang, and Ching-Ho Wu. "Effects of soft tissue artefacts on computed segmental and stifle kinematics in canine motion analysis." Veterinary Record 186, no. 2 (August 13, 2019): 66. http://dx.doi.org/10.1136/vr.105352.
Повний текст джерелаOmori, Naoko, Takuya Ueda, and Nobuyuki Mitsukawa. "CT-guided mapping in the removal of an impalpable, radiopaque foreign body in subcutaneous tissue: a case report." Journal of Wound Care 29, no. 7 (July 2, 2020): 424–26. http://dx.doi.org/10.12968/jowc.2020.29.7.424.
Повний текст джерелаGoodall, Alex Francis, Alex Barrett, Elspeth Whitby, and Andrew Fry. "T2*-weighted MRI produces viable fetal “Black-Bone” contrast with significant benefits when compared to current sequences." British Journal of Radiology 94, no. 1123 (July 1, 2021): 20200940. http://dx.doi.org/10.1259/bjr.20200940.
Повний текст джерелаFearnhead, R. W., M. Pang, N. Mok, and K. Kawasaki. "New Artefacts for Old: An Alternative Method of Preparing Hard and Soft Tissue Interfaces of Developing Enamel." Advances in Dental Research 1, no. 2 (December 1987): 366–70. http://dx.doi.org/10.1177/08959374870010022801.
Повний текст джерелаДисертації з теми "Soft tissue artefacts"
Lefebvre, Félix. "Analyse cinématique de l'épaule et du membre supérieur par capture de mouvement avec et sans marqueurs." Electronic Thesis or Diss., Lyon 1, 2024. http://www.theses.fr/2024LYO10264.
Повний текст джерелаThe precise and quantified characterization of human movement is essential in many fields, particularly in clinic and sports, to enhance, preserve, or restore motor abilities. The complex anatomy of the shoulder gives it fine and large-range motion capability, at the cost of fragile stability, exposing it to significant risks of impairments that can compromise its mobility. To accurately estimate the kinematics of the shoulder complex, it is necessary to have a motion capture system that is fast, accurate, and suitable for routine use. Among the many tools employed, shoulder kinematic estimation via direct measurement is generally invasive or radiation-based, and in any case not suited for systematic evaluation. Indirect skin-based shoulder kinematic estimation methods, especially those using markers, are widely used but offer lower accuracy due to soft tissue artifacts. Numerous experimental and numerical strategies have been developed to improve their performance, though they have not yet fully satisfied expectations. Recently, markerless motion capture methods have emerged, but to date, none of them provide estimates compatible with the detailed kinematic modeling of the shoulder complex. The objective of this thesis was therefore to contribute to the development of shoulder kinematic analysis tools using both marker-based and markerless motion capture. A first sub-objective of this thesis was to study the influence of kinematic model optimization and scapular marker weight on scapular kinematics in a multibody kinematic optimization. The results of this first study highlighted that marker redundancy, meaning the use of more than three markers on the scapula, is recommended for scapular kinematic estimation in multibody kinematic optimization. These results also showed that the optimal marker weights are both participant- and movement-specific, but that an average weight set per movement could improve scapular kinematic estimation. The second sub-objective of this thesis was to develop a markerless motion capture method using a deep learning algorithm that allows for the kinematic tracking of the upper-limb, including the shoulder complex. This second study involved developing a 2D pose estimation algorithm capable of identifying 20 anatomical landmarks across five different movements with a median accuracy of less than 9 px. The markerless motion capture method developed based on this algorithm provided 3D estimates of the anatomical landmarks of the shoulder with an average accuracy of less than 15 mm, resulting in an articular kinematic accuracy of 14° for the scapulothoracic joint. These estimates were equivalent to, if not better than, those obtained using marker-based motion capture, with a significant time-saving due to the absence of preparation required. Further research is needed to transform this proof of concept into a fully functional motion capture tool and validate its potential to become the most suitable method for routine shoulder complex kinematic estimation
Richard, Vincent. "Multi-body optimization method for the estimation of joint kinematics : prospects of improvement." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE1090/document.
Повний текст джерелаHuman movement analysis generally relies on skin markers monitoring techniques to reconstruct the joint kinematics. However, these acquisition techniques have important limitations including the "soft tissue artefacts" (i.e., the relative movement between the skin markers and the underlying bones). The multi-body optimization method aims to compensate for these artefacts by imposing the degrees of freedom from a predefined kinematic model to markers trajectories. The mechanical linkages typically used for modeling the joints however prevent a satisfactory estimate of the joint kinematics. This thesis addresses the prospects of improvement of the multi-body optimization method for the estimation of joint kinematics of the lower limb through different approaches: (1) the reconstruction of the kinematics by monitoring the angular velocity, the acceleration and the orientation of magneto-inertial measurement units instead of tracking markers, (2) the introduction of an elastic joint model based on the knee stiffness matrix, enabling a physiological estimation of joint kinematics and (3) the introduction of a "kinematic-dependent" soft tissue artefact model to assess and compensate for soft tissue artefact concurrently with estimating the joint kinematics. This work demonstrated the versatility of the multi-body optimization method. The results give hope for significant improvement in this method which is becoming increasingly used in biomechanics, especially for musculoskeletal modeling
Bonci, Tecla. "La reconstruction du mouvement du squelette : l'enjeu de l'artefact des tissus mous." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10056/document.
Повний текст джерелаIn 3D human movement analysis performed using stereophotogrammetry and skin markers, bone pose can be only indirectly estimated. During a task, soft tissue deformations make the markers move with respect to the underlying bone generating soft tissue artefacts (STA), causing devastating effects on pose estimation and its compensation remains an open issue. The thesis’ aim was to contribute to the solution of this crucial issue. Modelling STA using measurable trial-specific variables is a prerequisite for its removal from marker trajectories. Two STA model architectures are proposed. A thigh marker-level model is first presented. STA was modeled as a linear combination of joint angles involved in the task. The model was calibrated with direct STA measures. The considerable number of model parameters led to defining STA approximations. Three definitions were proposed to represent STA as series of modes : individual marker displacements, marker-cluster geometrical transformations (MCGT), and skin envelope shape variations. Modes were selected using two criteria : modal energy and selecting them a priori. The MCGT allows to select either rigid or non-rigid components. It was also demonstrated that only the rigid component affects joint kinematics. A model of thigh and shank rigid component at cluster-level was then defined. An acceptable trade-off between STA compensation and number of parameters was obtained. These results lead to two main potential applications : generate realistic STAs for simulation
Bonci, Tecla <1986>. "The reconstruction of skeletal movement: the soft tissue artefact issue." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6928/1/Bonci_Tecla_Tesi.pdf.
Повний текст джерелаBonci, Tecla <1986>. "The reconstruction of skeletal movement: the soft tissue artefact issue." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6928/.
Повний текст джерелаNaaim, Alexandre. "Modélisation cinématique et dynamique avancée du membre supérieur pour l’analyse clinique." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE1014/document.
Повний текст джерелаSoft Tissue Artefact (STA) is one of the most important limitations when measuring upper limb kinematics through marker-based motion capture techniques, especially for the scapula. Multi Body Optimisation (MBO) has already been proposed to correct STA when measuring lower limb kinematics and can be easily adapted for upper limb. For this purpose, the joint kinematic constraints should be as anatomical as possible. The aim of this thesis was thus to define and validate an anatomical upper limb kinematic model that could be used both to correct STA through the use of MBO and for future musculoskeletal models developments. For this purpose, a model integrating closed loop models of the forearm and of the scapula belt have been developed, including a new anatomical-based model of the scapulothoracic joint. This model constrained the scapula plane to be tangent to an ellipsoid modelling the thorax. All these models were confronted to typical models extracted from the literature through cadaveric and in vivo intracortical pins studies. All models generated similar error when evaluating their ability to mimic the bones kinematics and to correct STA. However, the new forearm and scapulothoracic models were more interesting when considering further musculoskeletal developments: The forearm model allows considering both the ulna and the radius and the scapulothoracic model better represents the constraint existing between the thorax and the scapula. This thesis allowed developing a complete anatomical upper limb kinematic chain. Although the STA correction obtained was not as good as expected, the use of this approach for a future musculoskeletal models has been validated
Lahkar, Bhrigu. "Contribution à la modélisation musculosquelettique personnalisée du membre inférieur par éléments finis." Thesis, Paris, HESAM, 2020. http://www.theses.fr/2020HESAE070.
Повний текст джерелаMusculoskeletal disorder of the lower limb is one of the most common health burdens that may lead to functional impairment in an individual. Although various operative management options are available, there seems no unanimity on a particular procedure that serves the best. To objectively assess disorders and effectively plan surgeries, it is essential to understand lower limb biomechanics under physiological loading conditions. With that motivation, this PhD aims to develop a comprehensive finite element based musculoskeletal modeling framework of the lower limb. The first phase of the PhD focuses on the development and evaluation of subject-specific finite element models under passive flexion. Novel approaches are proposed and evaluated for fast model development focusing on geometry and ligament properties. In the second phase, a novel finite element based approach for soft tissue artifact compensation is proposed and evaluated. This contribution allowed to effectively compensate for soft tissue artifact in motion analysis by taking subject specificity into account. The third phase of the PhD is dedicated to clinical application, where the utility of the biplanar X-ray system in evaluating Total Knee Arthroplasty implant alignment is briefly explored. Overall, this PhD may help to accurately estimate and understand lower limb biomechanics under clinically relevant loading conditions, and bring the model a step closer to clinical routine
Li, Jia-Da, and 李佳達. "Development of 2D-3D Registration Methods for Alternating Biplane Fluoroscopy to Quantify Soft Tissue Artefacts in the Lower Limb and Their Effects on Mechanical Analysis of the Knee During Pedalling." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/3ws4gv.
Повний текст джерела國立臺灣大學
醫學工程學研究所
106
Soft tissue artefacts (STA) have been recognized as a major source of error as applying stereophotogrammetry for human movement analysis. It not only affects the measurement of cycling motion but also limits interpretation of the results from the stereophotogrammetry-based measurement system. Currently, study of STA absent detailed, substantial results which provide guidelines for properly interpret results of cycling. 2D-3D subject-specific model-based registration method combined with biplane fluoroscopy is considered as a non-invasive accurate measurement method. However, the technique design for alternating exposures used in clinical system is not been proposed yet. Therefore, the study aims to develop 2D-3D registration methods for alternating biplane fluoroscopy and used to quantify soft tissue artefacts in the lower limb and their effects on mechanical analysis of the knee during pedalling. A tri-alternating images registration method is proposed combined with three kinematic models (constant speed, rigid and quasi-rigid) which help to predict bone pose of the adjacent frame under sole biplane fluoroscopy or combined with assistant measurement system conditions. The methods were verified by a cadaver study. Compare to single plane and pseudo biplane registration results, fast correction algorithm based on constant speed model already decreased 89% of out-of-plane errors and the target registration error eventually less than 0.7 mm. Performance of three models were comparable to the synchronized biplane registration. The rigid kinematic model was adopted for subsequence in vivo STA quantification during pedalling. Compare to the shank markers, the thigh markers showed greater STA and were affected more by pedal resistance. The STA varied with angles of the adjacent joints, largely linearly for shank markers while non-linearly for thigh markers. Markers near a joint experienced greater ranges of STA than mid-segment markers, but tended to have smaller variation. To estimate bone pose, STA produce greater rigid translations and rotations than the nonrigid component. Range of norigid component may not able to represent accuracy of the marker cluster used to estimate bone pose. On mechanical analysis, calculated joint angles were not affected by different resistant condition. Hybrid two marker clusters to estimate bone orientation and position separately help to reduce error of calculated joint angles and moments. The method developed in the study help to apply clinical sytem for measuring accurate bone kinematics. Results of STA during pedalling help other cycling study and the experiment data will be useful for the further studies.
Peters, Alana Victoria. "Gait analysis methods to minimise soft tissue artefact and evaluate techniques to locate the hip joint centre." 2010. http://repository.unimelb.edu.au/10187/8511.
Повний текст джерелаWhilst the systematic review provided equivocal results on the magnitude of STA, it was able to confirm that STA at the tibia is less than for the femur segment. As a result, the tibial segment was investigated to determine marker locations that are least susceptible to STA. Twenty unimpaired young adults were included in the study and were instrumented with 36 markers, including 10 markers on each shank segment. The markers were well spread across the tibial segment in order to assess as many locations as possible. Four markers located on the tibia were less susceptible to STA. These were the proximal and distal anterior tibial crest markers as well as the medial and lateral malleolar markers. These markers were rigid to one another thus were rigid to the underlying bone.
In order to assess the modelling methods proposed in the literature a gold standard comparison was required. A potential new gold standard method was identified as 3-D freehand ultrasound (3-DUS). This was believed to be a non-invasive and cost effective method for locating internal bony structures. A validation of the new method (3-DUS) against MRI was performed to ensure the new gold standard was a valid methodology. The two methods, 3-DUS and MRI were compared for their accuracy in determining the location of the HJC within the pelvis segment. Twenty unimpaired participants were included in this study. The participants were of variable ages and physical composition. The difference between 3-DUS and MRI determined distance between the left and right HJC was 4.0 ± 2.3mm. It was determined that the results from 3-DUS were clinically not significantly different to MRI. The results of this investigation indicated that 3-DUS could be used as a gold standard measurement for three dimensional gait analysis (3-DGA) research.
The new gold standard method was used to validate existing 3-DGA modelling methods to determine which obtained the most accurate location of the HJC. To date, the greatest clinical application for gait analysis is as a test for people with central nervous system disorders associated with spasticity, especially children with cerebral palsy (CP) (Simon 2004). For this reason, 53 patients with gait abnormalities who had been referred to the Royal Children’s Hospital gait laboratory for a 3-DGA were tested. The participant sample represented patients who were referred to the Hugh Williamson Gait Analysis Laboratory (HWGAL). This was apparent because from 2008-2009 69% of patients at HWGAL had a diagnosis of CP, of the sample included in this study, 67% had a CP diagnosis.
Patients underwent a 3-DGA in addition to a 3-DUS of their left and right femoral heads. Resultant ultrasounds were assessed for the quality of the images and 46 patients were included for data analysis. Seven different methods were investigated for the determination of the HJC and four of these were analysed in two different ways, as such there were 11 models compared to 3-DUS. The Harrington et al method obtained the most accurate and repeatable results where the 3-D location error was 14.3 ± 8.0mm. That method considerably outperformed the functional techniques that had previously been proposed in the literature. This highlighted the importance of testing research techniques in target populations.
To conclude, this thesis has identified locations on the tibia which are most rigid to the underlying bone as well as a new gold standard measurement tool suitable for use in 3-D gait analysis research. The thesis has also demonstrated the validity of using functional methods for determining the HJC in pathological populations. Limitations of previous research were identified, including a lack of translation of research findings into clinical practice. Future work following on from this thesis should aim to address this issue.
Silva, Liliana Sofia de Aguiar Pereira de. "Biomechanical models of the lower limb and pelvis, for female human gait in regular and overload conditions related to pregnancy." Doctoral thesis, 2014. http://hdl.handle.net/10400.5/8340.
Повний текст джерелаA gravidez é uma fase especial da vida , considerando as adaptações morfológicas, fisiológicas, biomecânicas e hormonais vivenciadas pelas mulheres durante cerca de 40 semanas e no período pós-parto, podendo modificar o padrão de marcha e contribuir para uma sobrecarga no sistema músculo-esquelético, causando dor nos membros inferiores, bacia e zona lombar. Os objetivos do presente trabalho foram: 1) analisar a marcha de mulheres grávidas no segundo trimestre; 2) comparar as adaptações biomecânicas da marcha, entre as mulheres grávidas no segundo trimestre, mulheres não grávidas e mulheres com condições de sobrecarga artificiais; 3) analisar modelos biomecânicos com quatro set ups diferentes de análise; e, 4) analisar um modelo de contacto que determina a força vertical de reação do apoio. Os resultados demonstraram que as mulheres grávidas têm uma padrão de marcha similar ao normal. Observou-se que o ganho do peso no tronco aumenta o tempo das fases de apoio e de duplo apoio, quer nas mulheres grávidas quer nas mulheres com carga adicional. A resposta ao momento externo flexor da anca está relacionada com maior atividade dos extensores para suportar a carga anterior do tronco na direção da translação do centro de massa. Nas mulheres grávidas, o modelo universal-revolução-esférica afetou mais as variáveis cinemáticas quando comparado com o modelo de juntas com seis graus de liberdade. O modelo de contacto entre o pé e o solo, sobrestimou as forças verticais de reação. O aumento da massa do pé, devido ao inchaço consequente da gravidez, reduz a rigidez durante a fase de apoio. Os resultados do presente trabalho serão úteis para promover a investigação biomecânica do padrão de marcha durante a gravidez.
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Частини книг з теми "Soft tissue artefacts"
Prieto, Claudia, René M. Botnar, Hajime Sakuma, Masaki Ishida, and Marcus R. Makowski. "Coronary imaging." In The EACVI Textbook of Cardiovascular Magnetic Resonance, edited by Massimo Lombardi, Sven Plein, Steffen Petersen, Chiara Bucciarelli-Ducci, Emanuela R. Valsangiacomo Buechel, Cristina Basso, and Victor Ferrari, 164–76. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198779735.003.0019.
Повний текст джерелаLinney, Alf, João Campos, and Ghassan Alusi. "Reconstruction of a 3D Mummy Portrait from Roman Egypt." In Images and Artefacts of the Ancient World. British Academy, 2005. http://dx.doi.org/10.5871/bacad/9780197262962.003.0016.
Повний текст джерелаТези доповідей конференцій з теми "Soft tissue artefacts"
Jing, Xu, Shiguang Qiu, and Xiumin Fan. "Real time human motion compensation based on joint DoF constraints for upper limb soft tissue artefacts." In 2013 6th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2013. http://dx.doi.org/10.1109/bmei.2013.6746951.
Повний текст джерелаRouhandeh, Azadeh, Chris Joslin, Zhen Qu, and Yuu Ono. "Non-invasive assessment of soft-tissue artefacts in hip joint kinematics using motion capture data and ultrasound depth measurements." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944585.
Повний текст джерелаAkbarshahi, Massoud, Justin W. Fernandez, Anthony Schache, Richard Baker, Scott Banks, and Marcus G. Pandy. "Quantifying the Spatial Variation of Lower-Limb Soft Tissue Artefact During Functional Activity Using MR Imaging and X-Ray Fluoroscopy." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206538.
Повний текст джерелаRouhandeh, Azadeh, and Chris Joslin. "Soft-tissue Artefact Assessment and Compensation in Motion Analysis by Combining Motion Capture Data and Ultrasound Depth Measurements." In International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006624205110521.
Повний текст джерела