2017
DOI: 10.1371/journal.pone.0182675
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Non-invasive volumetric analysis of asymptomatic hands using a 3-D scanner

Abstract: Hand swelling is one of the symptoms often seen in practice, but none of the available morphometric methods can quickly and efficiently quantify hand volume in an objective manner, and the current gold-standard volume measurement requires immersion in water, which can be difficult to use. Therefore, we aimed to analyze the accuracy of using 3-dimensional (3-D) scanning to measure hand volume. First, we compared the hand volume calculated using the 3-D scanner to that calculated from the conventional method amo… Show more

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Cited by 6 publications
(2 citation statements)
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“… 8–11 These noninvasive devices, which enable the real-time digital reconstruction of 3D objects, have shown a high degree of accuracy. 12 Furthermore, the software's ability to use acquired 3D images to calculate the length and thickness of a particular body part may make it possible to detect size differences between the affected and unaffected sides of the trunk of the body.…”
Section: Introductionmentioning
confidence: 99%
“… 8–11 These noninvasive devices, which enable the real-time digital reconstruction of 3D objects, have shown a high degree of accuracy. 12 Furthermore, the software's ability to use acquired 3D images to calculate the length and thickness of a particular body part may make it possible to detect size differences between the affected and unaffected sides of the trunk of the body.…”
Section: Introductionmentioning
confidence: 99%
“…To name a few, applications for 3-D digital outcrop models include stratigraphic modeling (Bellian et al, 2005;Enge et al, 2007), structural analysis (Triantafyllou et al, 2019), geohazard monitoring (Abellan et al, 2016), reservoir characterization (Hodgetts, 2013;Qiao et al, 2015), and assessing engineering geology outcrop parameters (Sturzenegger and Stead, 2009). The technological advancement of hand scanners has been driven by various multidisciplinary applications in fields such as forensics (Komar et al, 2012), architecture, archaeology, art, and historical documentation (Munkelt et al, 2007;Maté-González et al, 2017), construction (Sepasgozaar et al, 2017;Omar and Nehdi, 2016), as well as medicine and health sciences (Cau et al, 2016;Shinkai et al, 2017). The main advantages of hand scanners in these fields are their mobility, ease of use, and rapid generation of models in real-time.…”
Section: ■ Introductionmentioning
confidence: 99%