2016
DOI: 10.1682/jrrd.2014.10.0272
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Registering methodology for imaging and analysis of residual-limb shape after transtibial amputation

Abstract: Abstract-Successful prosthetic rehabilitation following lower-limb amputation depends upon a safe and comfortable socket-residual limb interface. Current practice predominantly uses a subjective, iterative process to establish socket shape, often requiring several visits to a prosthetist. This study proposes an objective methodology for residual-limb shape scanning and analysis by high-resolution, automated measurements. A 3-D printed "analog" residuum was scanned with three surface digitizers on 10 occasions.… Show more

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Cited by 35 publications
(75 citation statements)
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References 32 publications
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“…Our system allows for the instantaneous measurement of the entire surface of the residuum, by simultaneously imaging the entire surface of the residuum using multiple synchronized cameras. Moreover, the shape registration/ alignment problem, which is typically encountered when using other scanning techniques [22], [23], is avoided entirely when using 3D-DIC, since the correspondence between surface points is inherently tracked.…”
Section: Discussionmentioning
confidence: 99%
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“…Our system allows for the instantaneous measurement of the entire surface of the residuum, by simultaneously imaging the entire surface of the residuum using multiple synchronized cameras. Moreover, the shape registration/ alignment problem, which is typically encountered when using other scanning techniques [22], [23], is avoided entirely when using 3D-DIC, since the correspondence between surface points is inherently tracked.…”
Section: Discussionmentioning
confidence: 99%
“…Since the points in all the configurations are corresponded, this registration can be performed using closed-form solutions, which minimize the root mean square deviations between the point clouds [30], [31]. Conversely, previously used scanning methods do not provide corresponded point clouds; therefore, a closed-form solution cannot be obtained, and their alignment is therefore susceptible to local minima [22], [23]. Table 1 reports the 3D reconstruction mean and root mean square errors for each camera-pair, associated with the stereo calibration process, after applying distortion correction.…”
Section: ∆V Tmentioning
confidence: 99%
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“…Building on foundational work published by Zachariah, Sorenson and Sanders (Zachariah, Sorenson, & Sanders, 2005), in a previously published paper (Dickinson, Steer, Woods, & Worsley, 2016) we detailed a method for comparing pairs of surface scans using alignment, registration and visualisation. This enabled extraction of key measurements for evaluation of the accuracy and reliability of clinically-used scanners.…”
Section: Discussionmentioning
confidence: 99%
“…However this was abandoned due to the large amount of variables involved. 2 When gaining measures at each landmark on Tracer, the mouse cursor was placed over the point of the landmark. However, as the system works to 0 decimal place there was a 1mm radius in which the cursor could be placed and the system stated it was directly on the landmark.…”
Section: Discussionmentioning
confidence: 99%