Digital Leg Volume Quantification: Precision Assessment of a Novel Workflow Based on Single Capture Three-dimensional Whole-Body Surface Imaging

Whole-body three-dimensional surface imaging (3DSI) offers the ability to monitor morphologic changes in multiple areas without the need to individually scan every anatomical region of interest. One area of application is the digital quantification of leg volume. Certain types of morphology do not permit complete circumferential scan of the leg surface. A workflow capable of precisely estimating the missing data is therefore required. We thus aimed to describe and apply a novel workflow to collect bilateral leg volume measurements from whole-body 3D surface scans regardless of leg morphology and to assess workflow precision. For each study participant, whole-body 3DSI was conducted twice successively in a single session with subject repositioning between scans. Paired samples of bilateral leg volume were calculated from the 3D surface data, with workflow variations for complete and limited leg surface visibility. Workflow precision was assessed by calculating the relative percent differences between repeated leg volumes. A total of 82 subjects were included in this study. The mean relative differences between paired left and right leg volumes were 0.73 ± 0.62% and 0.82 ± 0.65%. The workflow variations for completely and partially visible leg surfaces yielded similarly low values. The workflow examined in this study provides a precise method to digitally monitor leg volume regardless of leg morphology. It could aid in objectively comparing medical treatment options of the leg in a clinical setting. Whole-body scans acquired using the described 3DSI routine may allow simultaneous assessment of other changes in body morphology after further validation.

[1]  Kohske Takahashi,et al.  Welcome to the Tidyverse , 2019, J. Open Source Softw..

[2]  Adam Chromy,et al.  Limb volume measurements: comparison of accuracy and decisive parameters of the most used present methods , 2015, SpringerPlus.

[3]  David L. Pease,et al.  Automated body volume acquisitions from 3D structured-light scanning , 2018, Comput. Biol. Medicine.

[4]  P. Dijkstra,et al.  Variation in Measurements of Transtibial Stump Model Volume: A Comparison of Five Methods , 2010, American journal of physical medicine & rehabilitation.

[5]  Jeremy B Green,et al.  The Surface-Volume Coefficient of the Superficial and Deep Facial Fat Compartments: A Cadaveric Three-Dimensional Volumetric Analysis. , 2019, Plastic and reconstructive surgery.

[6]  Linping Zhao,et al.  Accuracy and Reproducibility of Linear and Angular Measurements in Virtual Reality: a Validation Study , 2019, Journal of Digital Imaging.

[7]  R. Giunta,et al.  Whole Body Surface Assessment – Implementierung und Erfahrungen von 360° 3D Ganzkörperscans: Möglichkeiten zur Objektivierung und Verlaufskontrolle an den Extremitäten und am Körperstamm , 2019, Handchirurgie · Mikrochirurgie · Plastische Chirurgie.

[8]  Steve Summerskill,et al.  Development of a positioning aid to reduce postural variability and errors in 3D whole body scan measurements. , 2018, Applied ergonomics.

[9]  Laura Dekker,et al.  3D whole body scanning to determine mass properties of legs. , 2002, Journal of biomechanics.

[10]  Chiarella Sforza,et al.  Accuracy and reproducibility of a 3-dimensional stereophotogrammetric imaging system. , 2010, Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons.

[11]  Vimal Dhokia,et al.  Validity and reliability of a novel 3D scanner for assessment of the shape and volume of amputees’ residual limb models , 2017, PloS one.

[12]  Frank Hölzle,et al.  3D Optical Imaging as a New Tool for the Objective Evaluation of Body Shape Changes After Bariatric Surgery , 2020, Obesity Surgery.

[13]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[14]  Jin-Hun Jeon,et al.  Repeatability and reproducibility of individual abutment impression, assessed with a blue light scanner , 2016, The journal of advanced prosthodontics.

[15]  Jari Pallari,et al.  Measurements agreement between low-cost and high-level handheld 3D scanners to scan the knee for designing a 3D printed knee brace , 2018, PloS one.

[16]  Nikolaos A. Papadopulos,et al.  Accuracy and precision of the three-dimensional assessment of the facial surface using a 3-D laser scanner , 2006, IEEE Transactions on Medical Imaging.

[17]  C. Belka,et al.  Three-dimensional surface imaging in breast cancer: a new tool for clinical studies? , 2020, Radiation Oncology.

[18]  J S Rietman,et al.  Validity and intra- and interobserver reliability of an indirect volume measurements in patients with upper extremity lymphedema. , 2004, Lymphology.

[19]  Jun-Ming Lu,et al.  Automated anthropometric data collection using 3D whole body scanners , 2008, Expert Syst. Appl..

[20]  R. Giunta,et al.  Quantitative volumetrische Analyse der unteren Extremität: Validierung gegenüber etablierter Maßbandmessung und Wasserverdrängung , 2018, Handchirurgie · Mikrochirurgie · Plastische Chirurgie.

[21]  Wen-Ko Chiou,et al.  Comparison of three-dimensional anthropometric body surface scanning to waist-hip ratio and body mass index in correlation with metabolic risk factors. , 2002, Journal of clinical epidemiology.

[22]  S. Hummelink,et al.  “Three-dimensional evaluation of breast volume changes following autologous free flap breast reconstruction over six months” , 2020, Breast.

[23]  Ethan J. Speir,et al.  Volumetric Assessment of Pediatric Vascular Malformations Using a Rapid, Hand-Held Three-Dimensional Imaging System , 2019, Journal of Digital Imaging.

[24]  Manuela Galli,et al.  Circumferential versus Hand-held Laser Scanner Method for the Evaluation of Lower Limb Volumes in Normal-weight and Obese Subjects , 2016 .

[25]  Nikolaos A. Papadopulos,et al.  Evaluation of Precision and Accuracy Assessment of Different 3-D Surface Imaging Systems for Biomedical Purposes , 2013, Journal of Digital Imaging.

[26]  Fiona Coutts,et al.  Measurement of lower limb volume: agreement between the vertically oriented perometer and a tape measure method. , 2013, Physiotherapy.

[27]  K. Wolff,et al.  Simultaneous, radiation-free registration of the dentoalveolar position and the face by combining 3D photography with a portable scanner and impression-taking , 2019, Head & Face Medicine.

[28]  B K Ng,et al.  Clinical anthropometrics and body composition from 3D whole-body surface scans , 2016, European Journal of Clinical Nutrition.

[29]  Jack Wang,et al.  Validation of a 3-dimensional photonic scanner for the measurement of body volumes, dimensions, and percentage body fat. , 2006, The American journal of clinical nutrition.

[30]  Leonid L. Chepelev,et al.  Applying Modern Virtual and Augmented Reality Technologies to Medical Images and Models , 2018, Journal of Digital Imaging.

[31]  T. Pischon,et al.  Validity and reliability of total body volume and relative body fat mass from a 3-dimensional photonic body surface scanner , 2017, PloS one.

[32]  A. Pérez-Martin,et al.  Validation of lower limb segmental volumetry with hand-held, self-positioning three-dimensional laser scanner against water displacement. , 2014, Journal of vascular surgery. Venous and lymphatic disorders.

[33]  M. Podda,et al.  Liposuction is an effective treatment for lipedema–results of a study with 25 patients , 2011, Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG.