2021
DOI: 10.1111/iwj.13595
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SfM‐3DULC: Reliability of a new 3D wound measurement procedure and its accuracy in projected area

Abstract: Three‐dimensional (3D) wound measurement lacks a gold standard to test accuracy. It is useful to develop procedures to scan wounds and reconstruct their 3D model with low‐cost techniques. We present a new procedure (Structure from Motion [SfM]‐3DULC) that uses photographs for measuring nine wound variables. We also propose a new variant of ImageJ in which an orthophoto is used to measure the projected area (Ortho‐ImageJ). In addition, we compare the wound measurements made by dermatologists and non‐experts. A … Show more

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Cited by 4 publications
(2 citation statements)
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References 26 publications
(34 reference statements)
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“…we also found some problems worthy of further exploration. There are significant differences in the measurement results between professionals and non‐professionals, 41 suggesting that intelligent wound measurement devices should be operated by trained clinical professionals. However, there is no consensus on device training for medical staff, and there is no standard clinical operation process.…”
Section: Implications For Future Researchmentioning
confidence: 99%
“…we also found some problems worthy of further exploration. There are significant differences in the measurement results between professionals and non‐professionals, 41 suggesting that intelligent wound measurement devices should be operated by trained clinical professionals. However, there is no consensus on device training for medical staff, and there is no standard clinical operation process.…”
Section: Implications For Future Researchmentioning
confidence: 99%
“…3D models retain the surface geometry and color of the wound, and allow for manipulation, visualization, and enhanced clarity of wound features that is difficult to achieve in 2D images [15]. In many systems, 3D models are generated using structure from motion (SfM) photogrammetry [16,17,14,18] or 3D scanners [19]. SfM matches features between 2D images and combines the data to create a 3D model.…”
Section: Introductionmentioning
confidence: 99%