MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3,...

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MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3 , Francesco Piscitelli 1,2,3 , Christian Lovato 2,3 , Chiara Milanese 1,2 , Andrea Giachetti 4,5 , Carlo Zancanaro 1,2,3 1 Faculty of Exercise and Sport Science, University of Verona, Italy 2 Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy 3 Doctoral program in Multimodal Imaging in Biomedicine, University of Verona, Italy. 4 Faculty of Education Sciences, University of Verona, Italy 5 Department of Computer Science, University of Verona, Italy Faculty of Exercise and Sport Science University of Verona Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

Transcript of MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3,...

Page 1: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

MULTIMODAL IMAGING TECHNIQUES IN SPORTS

Valentina Cavedon1,2,3, Francesco Piscitelli1,2,3, Christian Lovato2,3, Chiara Milanese1,2,Andrea Giachetti4,5, Carlo Zancanaro1,2,3

1 Faculty of Exercise and Sport Science, University of Verona, Italy2 Department of Neurological, Neuropsychological, Morphological and Movement Sciences,

University of Verona, Italy3 Doctoral program in Multimodal Imaging in Biomedicine, University of Verona, Italy.4 Faculty of Education Sciences, University of Verona, Italy5 Department of Computer Science, University of Verona, Italy

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

Page 2: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

Anthropometry and body composition analysis have been largely applied in scientific research to identify different subgroups within a certain population.Moreover anthropometry and body composition analysis is frequently carried out in sport to assess changes in physiological status. Recent progress in both fields is changing the way these study are performed and open a lot of new possibilities.

This study explored the opportunity of using multimodal imaging techniques namely, DXA and 3D body scanning, to simultaneously assess body composition and anthropometry in humans for application in sports science.

Introduction

Page 3: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

“…DXA was designed to measure bone mass and has been shown to be both accurate and precise when used for thispurpose. However, DXA is increasingly being used to measure BC… Future research is needed to investigate theapplication of DXA in different fields (chronic diseases and sport medicine).DXA offers a quick and easy assessment of body fat, lean mass and BMD and is considered superior to many othermethods. It is often used in clinical settings, as well as to compare various BC methods for assessing body fat in overweight and obese children…” #

Materials & Methods

DXA: dual-energy X-ray absorptiometry, currently represents the gold standard to estimate body composition (fat mass, lean mass, and bone mineral density)

Page 4: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

The radiation received by the patient during the scan is less than that of an airline flight from California to New York and back.

http://www.radiologyinfo.org/en/safety/index.cfm?pg=sfty_xray#part3

“…In conclusion, BC assessments by DXA are readily available, less expensive and less invasive compared with other diagnostic imaging techniques, such as MRI and CT. Scanning times… have decreased substantially with newer technology. DXA is a simple, safe and precise technique that can measure BMD and soft-tissue composition not only in the whole body but also in specific regions of the body.This makes it an important tool not only for assessing and managing osteoporosis, but also for studying how soft tissue composition changes in healthy and disease conditions...” #

# Andreoli A. et al (2009) Body composition assessment by dual-energy X-ray absorptiometry (DXA).Radiol Med. 114:286-300

Page 5: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

Anthropometry is becoming fully digital:

3D body scanner can now acquire very accurate models of human subjects, allowing automatic or computer assisted measurement of body lengths, breadths, widths, diameters, volume and surface area.

“…Three-dimensional (3D) whole-body scanning has recently been used in several large anthropometric surveys of military personnel and the general population, but has yet to be applied to athletes.Previously, only traditional anthropometric measurement techniques and equipment (e.g. girth tapes, stadiometers, etc.) have been used in anthropometric surveys of athletes…” *

Page 6: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

“…Three-dimensional whole-body scanning uses… white light projected onto the body with the reflection captured by cameras as a series of points (typically between500,000 and one million) with XYZ coordinates.Measurements can then be extracted from the scans using measurement extraction software…” *

Page 7: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

“…they do offer several advantages over traditional anthropometric measurement techniques that make them very attractive for athlete surveys.First, they allow for the capture of surface anthropometric data in a more time-efficient and non-invasive manner, making in-competition measurement more feasible.Second, they greatly expand the range of anthropometric dimensions for which data can be collected.Third, they provide an historical record of the anthropometry of an athlete at a given point in time, one that can be reassessed at any time without the need for the individual to be present…” *

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* Schranz N. et al. Three-dimensional anthropometric analysis: Differences between elite Australian rowers and the general population.

Journal of Sports Sciences. (2010) 28(5):459-469

Page 8: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

The first AIM of our research was to compare measurements obtained with standard tape-based procedures with similar ones simulated with a custom made software tool on the digital models, obtaining comparable results for most of the analyzed measures.A sample of 12 subjects (6 male and 6 female), students at the University of Verona, were enrolled in this study.

A set of 28 anthropometric measures was performed on each subject. Body sites were marked previously using a dermographic pen.Measurement were performed twice by one experienced anthropometrist in accordance with the protocols outlined in Lohman et al. (1988).

Page 9: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

All participants were then positioned in the standard pose in the center of the scanner over a mark on the floor.They were instructed to hold their breath (at end-tidal expiration) for the duration of the 5.5 s scan.All participants were scanned twice.Digital measurements were performed in two different occasion by 3 different anthropometrist ( 1 experienced antropometrist and 2 naives anthropometrists).Measurements were conducted on 3D images of subjects using a dedicated software on a VTK library.

Page 10: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

Results

Page 11: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

Results

Comparison of item measurements taken by the experienced anthropometrist and any naive anthropometrists in the digital mode showed that digital anthropometry allows for accurate and reproducible measurements also when operators lack specific training.

Page 12: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

The second research approach aims at developing a totally automatic analysis of body shape in order to obtain measurements from raw scanner data. Given the great amount of data made available by the body scanning technology, developing viable, automatic and robust procedures is essential. Computational geometry tools like remeshing and skeletonization algorithms, etc. have been applied to analyze the models and automatically extract from them shape parameters independently on pose variations and with sufficient robustness against acquisition noise or holes.

Page 13: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

Being these parameters not directly comparable with tape-based methods, a possible validation approach we are testing is related to a direct correlation of the measurements with body composition data acquired with the DXA scanner.

Page 14: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

In a preliminary study (25 obese woman, Age 30-50 years, BMI 30÷40) we found that several automatically extracted body measurements (obtained in the abdominal region) are highly correlated with trunk fat (r≥0.9 with maximum Anterior-Posterior diameter, maximum Mean Diameter and maximum of slice Area)

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Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

and total body fat (r=0.76 with maximum Anterior-Posterior diameter, r=0.89 with maximum Mean Diameter, r=0.88 with maximum of slice Area).

Page 16: MULTIMODAL IMAGING TECHNIQUES IN SPORTS Valentina Cavedon 1,2,3, Francesco Piscitelli 1,2,3, Christian Lovato 2,3, Chiara Milanese 1,2, Andrea Giachetti.

Faculty of Exercise and Sport Science University of Verona

Laboratory of Anthropometry and Body Composition, Department of Neurological, Neuropsychological, Morphological and Movement Sciences, University of Verona, Italy

Moreover future anthropometric surveys and talent identification programs should include 3D anthropometry analysis in their basic physical-based testing when recruiting potential athletes, as it may provide better markers for potential elite competitors.

The current results suggest that researchers and sports scientists should take into account the new generation of 3D devices to perform anthropometric and body composition analysis.Clearly, further research with more subjects is warranted to verify these results and develop appropriate recommendations for application in sports science.