MultiDIC: An Open-Source Toolbox for Multi-View 3D Digital Image Correlation

Solav, Dana; Moerman, Kevin M.; Jaeger, Aaron M.; Genovese, Katia; Herr, Hugh M.

doi:10.1109/access.2018.2843725

Cited by 146 publications

(72 citation statements)

References 53 publications

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“…Once we finished the torsional experiment, we visualized the strain results using the MultiDIC toolbox developed by Solav et al [33]. This required that we calculate lens distortion, calibrate our camera positions, calculate the 2D DIC maps for each stereo camera pair, reconstruct our 3D surface geometry, before we could project these strain maps onto the 3D surface.…”

Section: A13 Results and Implications For Prosthetic Researchmentioning

confidence: 99%

“…Based on our literature review of existing technologies for structural analysis, we determined that the MultiDIC technology developed by Solav et al [33] was a promising tool to calculate the factor of safety in prosthetic socket designs. However, since that paper did not address failure analysis, we needed to determine if the tool was capable of characterizing structural failures.…”

Section: Experimental and Computational Methodsmentioning

confidence: 99%

“…360° DIC systems have been developed commercially such as by Dantec Dynamics; however these solutions are extremely expensive. Two recent papers by Solav et al [32,33] outlined a new method called MultiDIC to stitch together an arbitrary number of stereo camera pairs. This new method has the potential to take advantage of DIC's strengths (low cost equipment and sample preparation) while eliminating its major weaknesses (limited 3D analysis).…”

Section: Digital Image Correlationmentioning

confidence: 99%

“…A physical experiment was conducted to characterize the full surface strain of a 3D printed prosthetic socket in pure compression using MultiDIC. Using the camera system built by Solav et al [33] as inspiration, a synchronized camera system capable of capturing image data in a 360º field of view was built. Two rings of LED lights ensure that samples are evenly illuminated.…”

Section: Physical Experimentsmentioning

confidence: 99%

See 3 more Smart Citations

Seeing the Big Picture: Improving The Prosthetic Design Cycle Using 360° 3D Digital Image Correlation

Cabrera¹,

Martin²,

Fong³

et al. 2020

Preprint

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Additive manufacturing is one of the most promising emerging technologies for building prosthetic sockets. However, there is no reliable way to estimate the factor of safety and the lifetime of 3D printed prosthetic sockets. Here, we explore 360° 3D digital image correlation (DIC) and discover how this new tool can increase our understanding of prosthetic structural failures. We establish that this new technology can dramatically improve the prosthetic design cycle by identifying local strain concentrations and by highlighting limitations in current simulated models. Overall, 360° 3D DIC technology empowers prosthetic engineers to characterize the performance of new materials and create innovative designs that are both safe and affordable.

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Section: A13 Results and Implications For Prosthetic Researchmentioning

confidence: 99%

Section: Experimental and Computational Methodsmentioning

confidence: 99%

Section: Digital Image Correlationmentioning

confidence: 99%

Section: Physical Experimentsmentioning

confidence: 99%

See 2 more Smart Citations

Seeing the Big Picture: Improving The Prosthetic Design Cycle Using 360° 3D Digital Image Correlation

Cabrera¹,

Martin²,

Fong³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…This development provides an additional dimension to residual limb interface simulators [41,42], by providing a volumetric strain assessment. Non-invasive Digital Image Correlation (DIC) has also been demonstrated to offer some insights into residuum biomechanics, capturing in vivo the shape and free-deformation of the transtibial residual limb [47]. DVC may not yet be applicable in a clinical setting using CT imaging due to radiation dose and lack of contrasting pattern for correlation, and even standard field MRI is not collected routinely in these individuals.…”

Section: Discussionmentioning

confidence: 99%

Developing an Analogue Residual Limb for Comparative DVC Analysis of Transtibial Prosthetic Socket Designs

et al. 2020

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Personalised prosthetic sockets are fabricated by expert clinicians in a skill- and experience-based process, with research providing tools to support evidence-based practice. We propose that digital volume correlation (DVC) may offer a deeper understanding of load transfer from prosthetic sockets into the residual limb, and tissue injury risk. This study’s aim was to develop a transtibial amputated limb analogue for volumetric strain estimation using DVC, evaluating its ability to distinguish between socket designs. A soft tissue analogue material was developed, comprising silicone elastomer and sand particles as fiducial markers for image correlation. The material was cast to form an analogue residual limb informed by an MRI scan of a person with transtibial amputation, for whom two polymer check sockets were produced by an expert prosthetist. The model was micro-CT scanned according to (i) an unloaded noise study protocol and (ii) a case study comparison between the two socket designs, loaded to represent two-legged stance. The scans were reconstructed to give 108 µm voxels. The DVC noise study indicated a 64 vx subvolume and 50% overlap, giving better than 0.32% strain sensitivity, and ~3.5 mm spatial resolution of strain. Strain fields induced by the loaded sockets indicated tensile, compressive and shear strain magnitudes in the order of 10%, with a high signal:noise ratio enabling distinction between the two socket designs. DVC may not be applicable for socket design in the clinical setting, but does offer critical 3D strain information from which existing in vitro and in silico tools can be compared and validated to support the design and manufacture of prosthetic sockets, and enhance the biomechanical understanding of the load transfer between the limb and the prosthesis.

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Multifunctional Materials Strategies for Enhanced Safety of Wireless, Skin‐Interfaced Bioelectronic Devices

Liu

Kim

Yang

et al. 2023

Adv Funct Materials

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Many recently developed classes of wireless, skin‐interfaced bioelectronic devices rely on conventional thermoset silicone elastomer materials, such as poly(dimethylsiloxane) (PDMS), as soft encapsulating structures around collections of electronic components, radio frequency antennas and, commonly, rechargeable batteries. In optimized layouts and device designs, these materials provide attractive features, most prominently in their gentle, noninvasive interfaces to the skin even at regions of high curvature and large natural deformations. Past studies, however, overlook opportunities for developing variants of these materials for multimodal means to enhance the safety of the devices against failure modes that range from mechanical damage to thermal runaway. This study presents a self‐healing PDMS dynamic covalent matrix embedded with chemistries that provide thermochromism, mechanochromism, strain‐adaptive stiffening, and thermal insulation, as a collection of attributes relevant to safety. Demonstrations of this materials system and associated encapsulation strategy involve a wireless, skin‐interfaced device that captures mechanoacoustic signatures of health status. The concepts introduced here can apply immediately to many other related bioelectronic devices.

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MultiDIC: An Open-Source Toolbox for Multi-View 3D Digital Image Correlation

Cited by 146 publications

References 53 publications

Seeing the Big Picture: Improving The Prosthetic Design Cycle Using 360° 3D Digital Image Correlation

Seeing the Big Picture: Improving The Prosthetic Design Cycle Using 360° 3D Digital Image Correlation

Developing an Analogue Residual Limb for Comparative DVC Analysis of Transtibial Prosthetic Socket Designs

Multifunctional Materials Strategies for Enhanced Safety of Wireless, Skin‐Interfaced Bioelectronic Devices

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