<meta charset="utf8"></head><body>Hızlı Vücut Boyutu ve Kompozisyon Değerlendirmesi için 3D Optik Görüntüleme

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>System #1</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>Proscanner</td>
			<td>Fit3D Inc., San Mateo, CA, USA</td>
			<td>Version 5</td>
			<td>&#34;System #1&#34; in the manuscript</td>
		</tr>
		<tr>
			<td>Fit3D Proscanner app</td>
			<td>Fit3D Inc., San Mateo, CA, USA</td>
			<td>Version 5</td>
			<td>&#34;App #1&#34; in the manuscript</td>
		</tr>
		<tr>
			<td>CHUWI tablet PC</td>
			<td>Chuwi Technology Co., Ltd., Shenzhen, CHINA</td>
			<td>Hi10X</td>
			<td>&#34;Tablet #1&#34; in the manuscript</td>
		</tr>
		<tr>
			<td>Fit3D dashboard</td>
			<td>Fit3D Inc., San Mateo, CA, USA</td>
			<td></td>
			<td>https://dashboard.fit3d.com</td>
		</tr>
		<tr>
			<td>System #2</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>Mobile Scanner 1 (MS-1) app</td>
			<td>Size Stream LLC, Cary, NC, USA</td>
			<td>Version 2</td>
			<td>&#34;System #2&#34; in the manuscript</td>
		</tr>
		<tr>
			<td>iPad</td>
			<td>Apple Inc., Cupertino, CA, USA</td>
			<td>9th generation</td>
			<td>&#34;Tablet #2&#34; in the manuscript</td>
		</tr>
		<tr>
			<td>iPad Floor Stand</td>
			<td>Displays2go LLC, Fall River, MA, USA</td>
			<td>SKU: TABFLATBBK</td>
			<td>www.displays2go.com/P-29987/Universal-Tablet-Floor-Stand-Anti-Theft-Locking-Kit</td>
		</tr>
		<tr>
			<td>Size Stream registration dashboard&#160;</td>
			<td>Size Stream LLC, Cary, NC, USA</td>
			<td></td>
			<td>https://measure.mobilefit.sizestream.com</td>
		</tr>
		<tr>
			<td>Size Stream data download dashboard&#160;</td>
			<td>Size Stream LLC, Cary, NC, USA</td>
			<td></td>
			<td>https://data.mobilefit.sizestream.com</td>
		</tr>
	</tbody>
</table>

clinical anthropometrics and body composition from 3-dimensional optical imaging

Anthropometry is the study of the physical measures of the human body. Height, weight, lengths, skinfold thicknesses, and circumferences are commonly used anthropometric measures that proved to be useful for investigating patients with endocrine and metabolic disorders and for monitoring growth, aging, and body size and composition adaptations elicited by diet and training in athletes1,2. For example, the assessment of waist and hip circumferences proved to be useful for the management of persons with obesity: both circumferences assess the distribution of adiposity that can be considered a predictor of all-cause mortality3.
Limb circumferences are frequently assessed in rehabilitative and sports medicine because of their usefulness for detecting and/or monitoring the decrease in appendicular lean mass (e.g., calf circumference is used as a simple and practical skeletal muscle marker for diagnosing low skeletal muscle and sarcopenia)1,2 and the inter-limb asymmetry that impacts both physical performance and risk of injuries in athletes and quality of life in patients (e.g., cancer patients with unilateral extremity swelling)1,2. Further, a large number of anthropometrics-based body composition prediction models have been proposed over the last several decades to estimate the amount of fat mass or fat-free mass from a combination of different anthropometric measures such as body circumferences or skinfold thicknesses1,2,4,5,6,7.
Because conventional anthropometric (i.e., tape-based and caliper-based) measurements may not be culturally or socially acceptable and also exhibit poor reliability8, there was the need for the development and validation of non-invasive, reproducible, and valid approaches. Recently developed three-dimensional (3D) optical imaging systems enabled to provide non-invasive, precise, and accurate measurements8,9,10,11, as well as digital consumer cameras and smartphones offer easy-to-use and widely available tools suitable to be used in clinical and non-clinical settings to evaluate both patients and healthy subjects8,9,10,11,12,13,14,15,16,17,18,19,20. The aim of the protocol reported in the following section is to describe the procedures for evaluating body size, shape, and composition through two commercially available solutions for 3D optical imaging that became pervasive during the last years both in the healthcare setting (to evaluate patients) and in non-clinical settings (to evaluate athletes).

<meta charset="utf8"></head><body>Yazar Spotlight: Modern Araştırmalarda Kapsamlı Vücut Kompozisyonu Değerlendirmesi için 3D Optik Görüntülemedeki Gelişmeler

3 Boyutlu Optik Görüntülemeden Klinik Antropometri ve Vücut Kompozisyonu

The scope of our research is the assessment of body size, shape, and composition through innovative technologies for three-dimensional optical imaging. Body composition field is more than 100 years old, and many methods have been extensively evaluated. The most recent advances are in the area of 3D optical imaging, which provides a refined and accessible approach to evaluating body size, shape, and composition.One important question is if 3D optical imaging methods can be successfully implemented on a wide scale, given the importance of proper lighting and attire. Most advanced methods, such as MRI, still have bottlenecks due to the need for automated analysis software. Three-dimensional optical scanning is relatively inexpensive, radiation-free, non-invasive, and faster than other investigations commonly adopted in research and clinical settings for body size and composition assessment.Among the many new questions, the methods we introduce will put forth the question of what body shapes are associated with various disease states and with what genetic mechanisms.

The body size and composition assessment is commonly included in the routine management of healthy athletes as well as of different types of patients to ...

clinical-anthropometrics-body-composition-from-3-dimensional-optical

Research

JoVE Journal

Medicine

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

584 Görüntüleme.  University of Turin. Araştırmamızın kapsamı, üç boyutlu optik görüntüleme için yenilikçi teknolojiler aracılığıyla vücut boyutu, şekli ve kompozisyonunun değerlendirilmesidir. Vücut kompozisyonu alanı 100 yıldan daha eskidir ve birçok yöntem kapsamlı bir şekilde değerlendirilmiştir. En son gelişmeler, vücut boyutunu, şeklini ve bileşimini değerlendirmek için rafine ve erişilebilir bir yaklaşım sağlayan 3D optik görüntüleme alanındadır.