Fast Soft Tissue Deformation and Stump-Socket Interaction Toward a Computer-Aided Design System for Lower Limb Prostheses

Ballit, Abbass; Mougharbel, Imad; Ghaziri, Hassan; Dao, Tien Tuan

doi:10.1016/j.irbm.2020.02.003

Cited by 16 publications

(13 citation statements)

References 17 publications

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“…The socket and femur were defined as elastic materials, while the bulk soft tissues were defined as a hyperelastic material. Results for fast dynamic modeling of a stump-socket interaction are presented in [24], including a support for real-time soft-tissue deformation in high conformance with corresponding FEA results. Yet, recent research demonstrates there is still a lack of complete frameworks that include embedded operation sensing, biomechanical analysis, socket optimization design, and experimental validation.…”

Section: Related Workmentioning

confidence: 80%

Analyzing Dynamic Operational Conditions of Limb Prosthetic Sockets with a Mechatronics-Twin Framework

Chen

Ottikkutti

et al. 2022

Applied Sciences

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Lower limb prostheses offer a solution to restore the ambulation and self-esteem of amputees. One key component is the prosthetic socket that serves as the interface between prosthetic device and amputee stump and thereby has a wide range of impacts on efficient fitting, appropriate load transmission, operational stability, and control. For the design and optimization of a prosthetic socket, an understanding of the actual intra-socket operational conditions becomes therefore necessary. This is however a difficult task due to the inherent complexity and restricted observability of socket operation. In this study, an innovative mechatronics-twin framework that integrates advanced biomechanical models and simulations with physical prototyping and dynamic operation testing for effective exploration of operational behaviors of prosthetic sockets with amputees is proposed. Within this framework, a specific Stewart manipulator is developed to enable dynamic operation testing, in particular for a well-managed generation of dynamic intra-socket loads and behaviors that are otherwise difficult to observe or realize with the real amputees. A combination of deep learning and Bayesian Inference algorithms is then employed for analyzing the intra-socket load conditions and revealing possible anomalous.

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Section: Related Workmentioning

confidence: 80%

Analyzing Dynamic Operational Conditions of Limb Prosthetic Sockets with a Mechatronics-Twin Framework

Chen

Ottikkutti

et al. 2022

Applied Sciences

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“…This is still an area of opportunity that needs further research. Current methods try to approach these tolerances by using pressure sensors that can evaluate the interface pressure to understand the loading conditions and possible pain thresholds [ 32 , 33 , 34 , 35 , 36 , 37 ]. The resulting mesh from the proposed capture system can be further processed to meet desired diameters which would be well suited for socket tolerances and manufacture.…”

Section: Resultsmentioning

confidence: 99%

ARACAM: A RGB-D Multi-View Photogrammetry System for Lower Limb 3D Reconstruction Applications

Barreto

Perez‐Gonzalez

Herr

et al. 2022

Sensors

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In the world, there is a growing need for lower limb prostheses due to a rising number of amputations caused primarily, by diabetic foot. Researchers enable functional and comfortable prostheses through prosthetic design by integrating new technologies applied to the traditional handcrafted method for prosthesis fabrication that is still current. That is why computer vision shows to be a promising tool for the integration of 3D reconstruction that may be useful for prosthetic design. This work has the objective to design, prototype, and test a functional system to scan plaster cast molds, which may serve as a platform for future technologies for lower limb reconstruction applications. The image capture system comprises 5 stereoscopic color and depth cameras, each with 4 DOF mountings on an enveloping frame, as well as algorithms for calibration, segmentation, registration, and surface reconstruction. The segmentation metrics of dice coefficient and Hausdorff distance (HD) show strong visual similarity with an average similarity of 87% and average error of 6.40 mm, respectively. Moving forward, the system was tested on a known 3D printed model obtained from a computer tomography scan to which comparison results via HD show an average error of ≤1.93 mm thereby making the system competitive against the systems reviewed from the state-of-the-art.

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“…However, this method has an increased computational cost and necessitates the use of parallel computing. As part of modeling stump soft tissue deformation in stump-socket interactions, Ballit et al [110] developed a mass-spring system with a correcting spring and applied on a hexahedral mesh. They integrated additional springs named "corrective springs" into the mass-spring system to incorporate the incompressible behavior of soft tissues.…”

Section: ) Meshfree-based Modeling Methodsmentioning

confidence: 99%

Toward a Digital Twin for Arthroscopic Knee Surgery: A Systematic Review

et al. 2022

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The use of digital twins to represent a product or process digitally is trending in many engineering disciplines. This term has also been recently introduced in the medical field. In arthroscopic surgery education, the paradigm shift from apprenticeship to simulation training has driven the need for better simulators, and the current focus is on improving simulators with respect to computational efficiency and system accuracy. However, expanding surgical simulations towards digital twins has not yet been explored. This paper introduces the digital twin concept for arthroscopic surgery, and explores its potential in light of the existing scientific literature. Thus, a systematic review was conducted to summarize and analyze the literature with respect to fast and robust design of an arthroscopic digital twin using patientspecific information, and methods for interactive surgical soft tissue simulation. The review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol with three reliable scientific search engines: IEEE Explore, ScienceDirect and PubMed. Eighty papers were included in the review, and the extracted data included modeling methods, tissue types, constitutive behavior, computational efficiency or accuracy, hardware configuration, haptic device description, software tools, and system architectures. Considering the review, a novel macro-level conceptual arthroscopic digital twin system is presented, and the applicability of the review findings for the identified subsystems are discussed. The proposed system integrates patient-specific images, diagnostic data, intraoperative sensor data, and surgical practice as inputs, and conceptually enables surgical skills training, preoperative planning, and a database of virtual surgeries.

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Fast Soft Tissue Deformation and Stump-Socket Interaction Toward a Computer-Aided Design System for Lower Limb Prostheses

Cited by 16 publications

References 17 publications

Analyzing Dynamic Operational Conditions of Limb Prosthetic Sockets with a Mechatronics-Twin Framework

Analyzing Dynamic Operational Conditions of Limb Prosthetic Sockets with a Mechatronics-Twin Framework

ARACAM: A RGB-D Multi-View Photogrammetry System for Lower Limb 3D Reconstruction Applications

Toward a Digital Twin for Arthroscopic Knee Surgery: A Systematic Review

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