A Novel MRI Compatible Soft Tissue Indentor and Fibre Bragg Grating Force Sensor

Moerman, Kevin M.; Sprengers, André; Nederveen, Aart J.; Simms, Ciaran

doi:10.31224/osf.io/wtxfc

Cited by 4 publications

(7 citation statements)

References 28 publications

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“…In future work the indentation experiment should be combined with tissue deformation assessment allowing for the evaluation of the volumetric deformations of the tissue. For instance MRI based indentation experiments [66].…”

Section: Discussionmentioning

confidence: 99%

Automated and Data-driven Computational Design of Patient-Specific Biomechanical Interfaces

Moerman¹,

Sengeh²,

Herr³

2016

Preprint

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Abstract-Biomechanical interfaces are mechanical structures that form the connection between a device and a tissue region, and, through appropriate load transfer, aim to minimize tissue discomfort and injury. A patient-specific and data-driven computational framework for the automated design of biomechanical interfaces is presented here. Optimization of the design of biomechanical interfaces is complex since it is affected by the interplay of the geometry and mechanical properties of both the tissue and the interface. The proposed framework is presented for the application of transtibial amputee prostheses where the interface is formed by a prosthetic liner and socket. Conventional socket design and manufacturing is largely artisan, non-standard, and insufficiently data-driven, leading to discrepancies between the quality of sockets produced by different prosthetists. Furthermore, current prosthetic liners are often not patient-specific. The proposed framework involves: A) non-invasive imaging to record patient geometry, B) indentation to assess tissue mechanical properties, C) data-driven and automated creation of patientspecific designs, D) patient-specific finite element analysis (FEA) and design evaluation, and finally E) computer aided manufacturing. Uniquely, the FEA procedure controls both the design and mechanical properties of the devices, and simulates, not only the loading during use, but also the pre-load induced by the donning of both the liner and the socket independently. Through FEA evaluation, detailed information on internal and external tissue loading, which are directly responsible for discomfort and injury, are available. Further, these provide quantitative evidence on the implications of design choices, e.g. : 1) alterations in the design can be used to locally enhance or reduce tissue loading, 2) compliant features can aid in relieving local surface pressure. The proposed methods form a patient-specific, data-driven and repeatable design framework for biomechanical interfaces, and by enabling FEA-based optimization reduces the requirement for repeated patient involvement in the currently manual and iterative design process.

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Section: Discussionmentioning

confidence: 99%

Automated and Data-driven Computational Design of Patient-Specific Biomechanical Interfaces

Moerman¹,

Sengeh²,

Herr³

2016

Preprint

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“…Active biological indenters are robotic or actuated mechanisms that are either mounted to an actuated arm [11] or to a static base [10,12,13,14,15,16,17]. These computer-controlled devices are either MRI-compliant [16] or not [10,11,12,13,14,15,18,17].…”

Section: A State Of the Art: Passive And Active Tissue Indentersmentioning

confidence: 99%

“…These computer-controlled devices are either MRI-compliant [16] or not [10,11,12,13,14,15,18,17]. Significant design challenges exist with MRIcompliant, active indenters since ferrous materials cannot be employed in the actuator's design [16].…”

Section: A State Of the Art: Passive And Active Tissue Indentersmentioning

confidence: 99%

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Multi-Indenter Device for in Vivo Biomechanical Tissue Measurement

Petron

Duval

Herr

2017

IEEE Trans. Neural Syst. Rehabil. Eng.

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Biomechanical tissue properties have been hypothesized to play a critical role in the quantification of prosthetic socket production for individuals with limb amputation. In this investigation, a novel indenter platform is presented and its performance evaluated for the purposes of residual-limb tissue characterization. The indenter comprised 14 position- and force-controllable actuators that circumferentially surround a biological residuum to form an actuator ring. Each indenter actuator was individually controllable in position ( [Formula: see text] accuracy) and force (330 mN accuracy) at a PC controller feedback rate of 500 Hz, allowing for a range of measurement across a residual stump. Data were collected from 162 sensors over an EtherCAT fieldbus to characterize the mechanical hyperviscoelastic tissue response of two transtibial residual-limbs from a study participant with bilateral amputations. At five distinct anatomical locations across the residual-limb, force versus deflection data-including hyperviscoelastic tissue properties-are presented, demonstrating the accuracy and versatility of the multi-indenter platform for residual-limb tissue characterization.

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“…Recently, this method was coupled with quasi-static excitations performed on the lower leg [21] in order to obtain the displacement and strain fields. In addition, a 3D analysis was also carried out on the arm [22,23]. Moreover, an ultrasound technique was associated with static compression tests on phantom to image the cartography of the strain field in order to calculate the Young's modulus as the stress/strain ratio [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Measurement of the quadriceps muscle displacement and strain fields with ultrasound and Digital Image Correlation (DIC) techniques

Affagard

Feissel

Bensamoun

2015

IRBM

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A Novel MRI Compatible Soft Tissue Indentor and Fibre Bragg Grating Force Sensor

Cited by 4 publications

References 28 publications

Automated and Data-driven Computational Design of Patient-Specific Biomechanical Interfaces

Automated and Data-driven Computational Design of Patient-Specific Biomechanical Interfaces

Multi-Indenter Device for in Vivo Biomechanical Tissue Measurement

Measurement of the quadriceps muscle displacement and strain fields with ultrasound and Digital Image Correlation (DIC) techniques

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