Validation and Evaluation of a Portable Body Scanner for Determination of Obesity

描述(由申请人提供)： 肥胖症在美国已经达到流行水平，66%的成年人超重，32%的成年人肥胖。这项研究使用三维(3D)光子扫描的新技术来创建和验证一种在临床和现场环境中快速评估肥胖的仪器。第一个目标是开发一种用于人体三维表面成像的便携式计算机视觉成像系统。硬件系统由数码相机、投影仪和个人计算机等现成组件设计而成。正在开发和改进3D数据的算法，用于小型仪器的计算和系统校准。第二个目标是开发从3D数据重建曲面的算法，以便定义适当的曲面表示，并从不完整和有噪声的数据中重建人体的3D模型。第三个目标是开始对120名成年人进行人体测量测试。目标3是通过便携式人体成像仪估计重建的人体的大小和形状，并与目前评估肥胖的方法进行比较。人体测量参数将通过成像通过3秒的身体扫描计算出来，然后与其他肥胖评估方法进行比较，包括BMI、腰围、矢状腹直径、生物阻抗、水密度法、双能X射线吸收法和空气置换体积描记法。最终目标是在60名受试者中验证身体成像作为中心性肥胖(腹部脂肪，而不是皮下脂肪)的指标，因为腹部脂肪与糖尿病等健康风险最相关。磁共振成像扫描检测到的腹部脂肪组织将与3D人体成像计算出的腹部脂肪组织进行比较。总而言之，这种新型便携式身体扫描仪的非接触式、非侵入性将产生一种快速、廉价和客观的身体尺寸和肥胖类型测量方法。

DESCRIPTION (provided by applicant): Obesity has reached epidemic levels in the U.S., with 66% of adults overweight and 32% of adults obese. The research uses the new technique of three-dimensional (3 D) photonic scanning to create and validate an instrument that rapidly assesses obesity in clinical and field settings. The first aim is to develop a portable computer vision system of body imaging for 3 D surface imaging of the human body. The hardware system is designed from off-the- shelf components such as digital cameras, projectors, and personal computer. Algorithms for the 3D data are being developed and refined for calculation and system calibration for a small instrument. The second aim is to develop algorithms for surface reconstruction from 3D data in order to define a proper surface representation and to reconstruct a 3D model of the human body from incomplete and noisy data. The third aim begins the human measurement testing in 120 adults. Aim 3 is to estimate the size and shape of the reconstructed human body by a portable body imager and compare to current methods that assess obesity. Anthropometric parameters will be computed by a 3 second body scan via imaging and then compared to other methods of obesity assessment including BMI, waist circumference, sagittal abdominal diameter, bioimpedence, hydrodensitometry, dual energy X-ray absorptiometry, and air displacement plethysmography. The final aim is to validate body imaging as an indicator of central obesity (fat in the abdominal region, as opposed to subcutaneous depots) in a subset of 60 subjects because it is the abdominal fat that is most associated with health risks such as diabetes. Abdominal fat tissue as detected by magnetic resonance imaging scans will be compared to that calculated from 3 D body imaging. In sum, the non-contact, noninvasive nature of this new portable body scanner will produce a quick, inexpensive and objective measure of body size and type of obesity.