A smartphone photogrammetry method for digitizing prosthetic socket interiors

Hernández, A; Lemaire, Edward D.

doi:10.1177/0309364616664150

Cited by 39 publications

(48 citation statements)

References 3 publications

(3 reference statements)

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“…The motivation for the development of the smartphone system version was the achievement of an ultra-low-cost system; the complete acquisition system, including a suitable smartphone, can be assembled for less than $150. The use of smartphones for photogrammetric acquisition has been widely reported for a range of object scales from large rock formations [22] down to close-range acquisitions, for example, prosthetic socket interiors [23].…”

Section: Rotary Acquisition Systemmentioning

confidence: 99%

Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts

et al. 2019

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The photogrammetric acquisition of 3D object models can be achieved by Structure from Motion (SfM) computation of photographs taken from multiple viewpoints. All-around 3D models of small artefacts with complex geometry can be difficult to acquire photogrammetrically and the precision of the acquired models can be diminished by the generic application of automated photogrammetric workflows. In this paper, we present two versions of a complete rotary photogrammetric system and an automated workflow for all-around, precise, reliable and low-cost acquisitions of large numbers of small artefacts, together with consideration of the visual quality of the model textures. The acquisition systems comprise a turntable and (i) a computer and digital camera or (ii) a smartphone designed to be ultra-low cost (less than $150). Experimental results are presented which demonstrate an acquisition precision of less than 40 µm using a 12.2 Megapixel digital camera and less than 80 µm using an 8 Megapixel smartphone. The novel contribution of this work centres on the design of an automated solution that achieves high-precision, photographically textured 3D acquisitions at a fraction of the cost of currently available systems. This could significantly benefit the digitisation efforts of collectors, curators and archaeologists as well as the wider population.

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Section: Rotary Acquisition Systemmentioning

confidence: 99%

Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts

et al. 2019

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“…Photogrammetry is another of the main techniques in use (Siegenthaler, 2015), but it is not widely extended in consultations and hospitals despite its suitability to carry out non-contact and accurate measurements. Image-based 3D digitisation and 3D modelling are being used for a wide range of medical applications such as the creation of prosthesis (Salazar-Gamarra et al, 2016), diagnosis (Farnood Ahmadi and Layegh, 2014), craniofacial information analysis (Byvaltsev, Belykh and Belykh, 2012) and dental reconstruction (Grenness et al 2005;Hernandez and Lemaire 2016). However, the most common tools to obtain 3D information for medical purposes are magnetic resonance imaging (MRI) and computed tomography (CT) scanners.…”

Section: Smartphone-based Video For 3d Modelling: Application To Infamentioning

confidence: 99%

“…The use of smartphone cameras as a tool to create high-accuracy 3D models is becoming more common as the capabilities of the smartphones increase and they are equipped with higher quality cameras (Daponte et al, 2013;Bakula and Flasiński, 2014). Smartphone-based photogrammetry is starting to be used in different medical studies, most of them focused on the creation and measurement of medical prosthesis (Salazar-Gamarra et al 2016;Hernandez and Lemaire 2016). However, in these studies, the target is static and photographs are used instead of video sequences.…”

Section: Smartphone-based Video For 3d Modelling: Application To Infamentioning

confidence: 99%

Smartphone-based video for 3D modelling: Application to infant’s cranial deformation analysis

et al. 2018

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The use of smartphones cameras for photogrammetric purposes is increasing. However, the suitability of smartphones for 3D modelling for medical purposes in general, and for cranial deformation in particular, is still to be analysed. This paper investigates the suitability of smartphone video cameras to create 3D models for cranial deformation analysis compared to the digital single-lens reflex (SLR) cameras traditionally used in close-range photogrammetry. Two models are obtained, the first one from a slow-motion video recorded with a smartphone, and the second one from SLR camera imagery. The models are compared to evaluate the differences not only between themselves but also through the best fitting ellipsoid that allow the determination of the cranial deformations. The average distance between models is 0.5 mm, and below 1 mm for 86% of the model points. The maximum difference between the two fitted ellipsoid semiaxes is 1 mm. It can be stated that smartphones are a low-cost solution that can provide 3D models with a similar accuracy to that of SLR cameras for non-static objects in close range scenarios. More interestingly, slow-motion videos provide comparable results in real clinical conditions with infants in movement.

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“…3D scanning and printing have been introduced as potential technologies that can radically enhance the field of prosthetics [7,23,39,41,45]. 3D scanners, including low-cost options such as smartphone scanning, can accurately capture the volume and geometry of residual limbs and existing sockets [12,37] and can eliminate the need for plaster casting and mould disposal [15]. The original and any follow-up scans or digital modifications can be preserved, providing a permanent record of a patient's limb [11,25].…”

Section: Introductionmentioning

confidence: 99%

3D-Printing and upper-limb prosthetic sockets; promises and pitfalls

Olsen

Day

Dupan

et al. 2020

Preprint

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Modernising the way upper-limb prosthetic sockets are made has seen limited progress. The casting techniques that are employed in clinics today resemble those developed over 50 years ago and there is still a heavy reliance on manual labour. Modern manufacturing methods such as 3D scanning and printing are often presented as ready-to-use solutions for producing low-cost functional devices, with public perceptions being largely shaped by the superficial media representation and advertising. The promise is that modern socket manufacturing methods can improve patient satisfaction, decrease manufacturing times and reduce the workload in the clinic. However, the perception in the clinical community is that total conversion to digital methods in a clinical environment is not straightforward. Anecdotally, there is currently a disconnect between those developing technology to produce prosthetic devices and the actual needs of clinicians and people with limb difference. In this paper, we demonstrate strengths and drawbacks of a fully digitised, low-cost trans-radial diagnostic socket making process, informed by clinical expertise. We present volunteer feedback on the digitally created sockets and provide expert commentary on the use of digital tools in upper-limb socket manufacturing. We show that it is possible to utilise 3D scanning and printing, but only if the process is informed by expert knowledge. We bring examples to demonstrate how and why the process may go wrong. Finally, we provide discussion on why progress in modernising the manufacturing of upper-limb sockets has been slow yet it is still too early to rule out digital methods.

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A smartphone photogrammetry method for digitizing prosthetic socket interiors

Cited by 39 publications

References 3 publications

Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts

Automated Low-Cost Photogrammetric Acquisition of 3D Models from Small Form-Factor Artefacts

Smartphone-based video for 3D modelling: Application to infant’s cranial deformation analysis

3D-Printing and upper-limb prosthetic sockets; promises and pitfalls

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