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: The 20 virtual facebow records using the smartphone 3D scanner deviated from the CBCT measurements (trueness) by 1.14 ☐.40 mm at #9, 1.20 ☐.50 mm at #14, 1.12 ☐.51 mm at the #3, and 1.48 ☐.56° in the occlusal plane. Differences between two objects were also explored with Mann Whitney U test. The linear deviation at left central incisor (#9), left first molar (#14), and right first molar (#3), as well as angular deviation of occlusal plane were analyzed with descriptive statistics. The “precision” is defined as the deviation between each virtual facebow record.
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The “trueness” of the proposed procedure is defined as the deviation between maxilla arch position in virtual facebow records and the CBCT images. The location of maxillary arch in virtual facebow records was compared with its position in CBCT. To investigate if the maxillary scan is located at the right position to the face, these virtual facebow records were superimposed to a cone‐beam computed tomography (CBCT) head scan from the same subject by matching the face scan to the face 3D reconstruction from CBCT images. This procedure was repeated 10 times for each subject.
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The subject's maxillary arch intraoral scan was aligned to the face scan by the virtual facebow fork. For each subject, a virtual facebow was attached to his/her maxillary arch, and a face scan was performed using a smartphone with a 3D scan application. : Twenty repeated virtual facebow records were performed on two subjects using a smartphone as a 3D face scanner. : To investigate the trueness and precision of virtual facebow records using a smartphone as a 3D face scanner. However, using an internal wall thickness estimation, scans may be of sufficient accuracy for clinical use assuming a uniform wall thickness. The technique selected did not show sufficient accuracy for clinical application due to the degradation of accuracy nearer to the base of the socket interior. The scanned model had a wall thickness ranging from 2.075 mm at the top to 7.758 mm towards the base of the socket, compared to a consistent thickness of 2.025 mm in the control model. The accuracy of the socket wall volume, surface area and height were 61.63%, 99.61% and 99.90%, respectively, when compared to the digital reference model. The most fit technique was used to assess accuracy.
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The printed socket was photographed from 360 positions and simplified genetic algorithms were used to design a series of experiments, whereby a collection of photos were processed using Autodesk ReCap. A 3D printed transtibial socket was produced to create digital and physical twins, as reference models. Therefore, this paper aims to determine an optimal imaging technique for whole socket photogrammetry and evaluate the resultant scan measurement accuracy. Smartphone photogrammetry could offer a low cost alternative, but there is no widely accepted imaging technique for prosthetic socket digitisation. However, commercially available scanning equipment required is often expensive and proprietary.
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Modern digital techniques offer a host of advantages to the process and ultimately lead to improving the lives of amputees.
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Sockets are conventionally produced using hand-crafted patient-based casting techniques. The fit of a lower limb prosthetic socket is critical for user comfort and the quality of life of lower limb amputees.
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