Handheld 3D scanning as a minimally invasive measuring technique for neonatal anthropometry

Andrews, Edward; Ashton, James J.; Pearson, Freya; Beattie, R Mark; Johnson, Michael E.

doi:10.1016/j.clnesp.2019.06.012

Cited by 7 publications

(17 citation statements)

References 6 publications

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“…Anthropometric tape measurements require experienced technicians, can be time‐consuming, and may feel invasive for patients with obesity or eating disorders (8,9). There may also be human bias with repeat anthropometric tape measurements as humans may tend to aim for their previous measurement.…”

Section: Introductionmentioning

confidence: 99%

A pose‐independent method for accurate and precise body composition from 3D optical scans

Wong

Tian

et al. 2021

Obesity

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Objective The aim of this study was to investigate whether digitally re‐posing three‐dimensional optical (3DO) whole‐body scans to a standardized pose would improve body composition accuracy and precision regardless of the initial pose. Methods Healthy adults (n = 540), stratified by sex, BMI, and age, completed whole‐body 3DO and dual‐energy X‐ray absorptiometry (DXA) scans in the Shape Up! Adults study. The 3DO mesh vertices were represented with standardized templates and a low‐dimensional space by principal component analysis (stratified by sex). The total sample was split into a training (80%) and test (20%) set for both males and females. Stepwise linear regression was used to build prediction models for body composition and anthropometry outputs using 3DO principal components (PCs). Results The analysis included 472 participants after exclusions. After re‐posing, three PCs described 95% of the shape variance in the male and female training sets. 3DO body composition accuracy compared with DXA was as follows: fat mass R2 = 0.91 male, 0.94 female; fat‐free mass R2 = 0.95 male, 0.92 female; visceral fat mass R2 = 0.77 male, 0.79 female. Conclusions Re‐posed 3DO body shape PCs produced more accurate and precise body composition models that may be used in clinical or nonclinical settings when DXA is unavailable or when frequent ionizing radiation exposure is unwanted.

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Section: Introductionmentioning

confidence: 99%

A pose‐independent method for accurate and precise body composition from 3D optical scans

Wong

Tian

et al. 2021

Obesity

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“…Across all studies, the ages of the patients involved ranged from 24 weeks gestational age to 12 years of age. Only four studies concerned preterm infants [33,43,50,53]. In general, QualSys scores are high, reflecting good methodological quality, and the individual scores of the two reviewers correlate.…”

Section: Characteristics Of Studies and Methodological Qualitymentioning

confidence: 99%

“…Almost half of all studies compared 3D scanning with traditional manual anthropometric measuring techniques, such as calliper, tape measure or length board. Two studies measured multiple body size parameters: one both body length and head circumference [33], and one 'standard anthropometric data' (body length, head circumference, upper arm circumference) [38]. One study measured the total body surface area [52].…”

Section: Aims Of Studiesmentioning

confidence: 99%

“…Nylon caps to ensure good 3D capture were needed for 3D scanning of the head [33-35, 41-44, 46-48, 50-52, 54]. The use of eye protectors was reported in some studies [33,50]. For head measurements with a stationary 3D scanner, the infant was held by an adult or positioned in a chair [36, 37, 39, 41-47, 51, 52, 54, 55, 57], or had to lie inside the scanner during capture [32,37,41,43].…”

Section: Disturbance Of Patients During Measuring Proceduresmentioning

confidence: 99%

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Body size measuring techniques enabling stress-free growth monitoring of extreme preterm infants inside incubators: A systematic review

2022

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Introduction Growth monitoring of preterm infants is essential for assessing the nutritional effects on their growth. The current growth monitoring techniques are too stressful, however, for the smallest preterm infants. We performed a systematic review to summarize studies on stress-free techniques for measuring the body size of preterm infants inside incubators other than the traditional calliper and tape measure-based instruments. Methods We searched four online literature databases: Embase, Medline, Web of Science Core Collection, and Cochrane, using search terms related to patients (neonates, infants, children) and body size measuring techniques. By means of expert judgement we assessed the techniques’ suitability for stress-free body size measurement of an infant lying in an incubator. As a criterion for suitability, we used an imaginary ideal technique. Results Twenty-six studies were included in this review. In 24 studies, the technique for body size measurement was related to 3D technology, and the majority of these studies acknowledged clinical superiority of 3D over 2D data. Two 3D techniques were assessed as suitable for stress-free measurement of preterm infants inside incubators. The first technique used a commercially available 3D handheld scanner which needed 3D postprocessing to derive measurement data. The second technique used a self-developed stereoscopic vision system. Conclusions 3D volumetric parameters have higher clinical value for growth monitoring than 2D. In addition, contactless 3D measurements enable stress-free growth monitoring of even the smallest preterm infants. However, the time-consuming 3D postprocessing challenges the usability of 3D techniques. Regrettably, none of the identified suitable 3D techniques met all our requirements of an ideal all-in-one body size measuring technique for extreme preterm infants. Handheld 3D scanning might have the best properties for developing this ideal technique.

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“…The experiment was conducted, and we identified a reduction of geometric imperfections during the self-balanced process. Andrews et al [30] proposed that 3D scanning is a non-touch measuring technique that is feasible and increases performance. This technology can be used to see the growth of preterm infants.…”

Section: Literature Reviewmentioning

confidence: 99%

3D scanning of a carburetor body using COMET 3D scanner supported by COLIN 3D software: Issues and solutions

Haleem

Gupta

Bahl

et al. 2021

Materials Today: Proceedings

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Nowadays, the industry uses 3D Scanners for reverse engineering, new product design, rapid manufacturing, multimedia, architecture, inspection, and quality control. The scanning process converts a real object into a digital format. This paper's essential purpose is to show the use of a 3D blue light Scanner/COMET 3D to redesign a carburetor body. The paper identifies different issues involved in the processes to help future users. COMET 3D does scanning of the carburetor body by which COLIN 3D software is used for measurements, editing, and analyzing of the acquired point clouds data. This paper also identifies the necessary steps to undertake 3D Scanning and part dimensioning for a carburetor body. It also discusses the error/problems that occurred during the process. The applications of non-contact blue light 3D Scanners are many as they can be innovatively used to redesign an existing part, architecture designing, and reducing production cycle time, biomedical and associated applications. This paper's contribution lies in achieving a step-by-step procedure of scanning any three-dimensional object as this helps in understanding the 3D scanning hardware and support software. It provides good knowledge of how to resolve the issues that can cause an error during the measurement of the surfaces and scan objects.

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Handheld 3D scanning as a minimally invasive measuring technique for neonatal anthropometry

Cited by 7 publications

References 6 publications

A pose‐independent method for accurate and precise body composition from 3D optical scans

A pose‐independent method for accurate and precise body composition from 3D optical scans

Body size measuring techniques enabling stress-free growth monitoring of extreme preterm infants inside incubators: A systematic review

3D scanning of a carburetor body using COMET 3D scanner supported by COLIN 3D software: Issues and solutions

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