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3D laser-based photonic full body scans create a detailed surface image of the human body consisting of up to 300 data points per cm3 within 10-12 seconds. The technique provides automatic information on a number of whole body or body-part circumferences, surfaces and volumes as well as body height and weight in a fast, non-invasive and comfortable way for patients. We are working on the following questions: What can we learn from the 3D point cloud as a whole to predict body composition and thus disease risk? Are there systematic differences compared to manual anthropometry? Which is the best way to compare follow-up scans from an individual over time? The medium-termed goal is to use 3D scans as a valuable asset in running or future panel/cohort studies and to enhance basic knowledge about the technique before smart phones will be able to take 3D full body scans in the near future.
Cavegn, Cristine; Rühli, Frank; Bender, Nicole; Staub, Kaspar (2020). Prediction of muscle mass in arms and legs based on 3D laser-based photonic body scans’ standard dimensions in a homogenous sample of young men. Journal Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization:Epub ahead of print.
Sager, Roman; Güsewell, Sabine; Rühli, Frank; Bender, Nicole; Staub, Kaspar (2020). Multiple measures derived from 3D photonic body scans improve predictions of fat and muscle mass in young Swiss men. PLoS ONE, 15(6):e0234552.
Beckmann, Claudia; Aldakak, Lafi; Eppenberger, Patrick; Rühli, Frank; Staub, Kaspar; Bender, Nicole (2019). Body height and waist circumference of young Swiss men as assessed by 3D laser-based photonic scans and by manual anthropometric measurements. PeerJ, 7:e8095.
Koepke, Nikola; Zwahlen, Marcel; Wells, Jonathan C; Bender, Nicole; Henneberg, Maciej; Rühli, Frank J; Staub, Kaspar (2017). Comparison of 3D laser-based photonic scans and manual anthropometric measurements of body size and shape in a validation study of 123 young Swiss men. PeerJ, 5:e2980.
Tages-Anzeiger, 06.05.2018: "Ganz schön vermessen. Zürcher Forscher sammeln mithilfe eines 3-D-Ganzkörperscanners zahlreiche Daten von Testpersonen. Sie wollen so Gesundheitsrisiken vorhersagen können. Ein Selbsttest."
Seebauer Magdalena, UZH-News, 10.10.2017: "Vom Scheitel bis zur Sohle."