Stereo photogrammetry soft tissue imaging

立体摄影测量软组织成像

• 批准号: 8952866
• 负责人: Scott Mitchell Paul
• 金额: --
• 依托单位: CLINICAL CENTER
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8952866
• 关键词: Alberta province; Area; Canada; Central obesity; Chest wall structure; Clinical Research; Complex; Computer software; Data Analyses; Deformity; Development; Disease; Dysmorphology; Exhibits; Goals; Growth and Development function; Human; Image; Image Analysis; Institutional Review Boards; Left; Limb structure; Manikins; Manuals; Measurement; Measures; National Institute of Dental and Craniofacial Research; Natural History; Obesity; Outcome Measure; Persons; Phase; Photogrammetry; Preparation; Process; Protocols documentation; Publications; Reporting; Research Personnel; Slice; Solid; Spinal; Stereophotogrammetries; Surface; Syndrome; System; Testing; Thick; Time; Universities; Variant; age related; healthy volunteer; human subject; material transfer agreement; meetings; response; rib bone structure; scoliosis; soft tissue; software development; three dimensional structure

The first step performed to achieve the goals stated above was to the technical capabilities of a commercially available stereophotogrammetry (SP) system we performed a study to determine the reliability, stability, validity and precision of a SP system for use in quantifying the complex three-dimensional (3D) structure of the human torso. We performed assessments of the system using images of geometric solids and a human-form mannequin. Analysis of geometric solids revealed excellent intra- and inter-rater reliability of the system for linear, surface area and volume measurements (r > 0.99, P < 0.001). Overall, no significant difference was found between SP and manual measurements (F = 4.23, P > 0.06). The system exhibited excellent stability in images of the mannequin over time (r > 0.99). The limit of precision (error > 5%) of the system to detect objects on the surface of the mannequin was estimated at an object size of 23.5cm2 for surface area and 32mL for volume. After confirming the stability of the SP image acquisition system with human-form mannequin, a human subjects protocol was approved by the NIDCR IRB. A materials transfer agreement with the University of Alberta, Canada was completed in order to share MatLab image analysis software developed by investigators there In this first phase of the clinical study, 102 healthy volunteers were imaged using the SP system, and these images were processed into transverse torso slices between 2.5 and 6 mm using the Matlab image analysis software. The coefficients of variation were calculated for each thickness for desired outcome measures such as pseudocobb angle or maximum difference in area between the right and left half of the torso. Preliminary analyses of data obtained in this phase of the study were presented in March 2013 at the Annual Meeting of the Association of Academic Physiatrists. It was found that all outcome measures had coefficients of variation that were at or below the 30% threshold for stability, with the exception of the pseudoCobb measure. This indicated that this SP system does have the potential to provide quantifiable, multi-planar information about spinal and chest wall deformities. A report of the results of this phase is currently in preparation for publication. The phase one results have allowed us to move on to our second phase of the study and we are currently accruing subjects with scoliosis and/or rib deformities in order to assess the ability of the system to discriminate healthy subjects from those with scoliosis, and chest wall deformity. We will also be testing the systems sensitivity to detect changes in deformity over time. Subsequent to this accrual and analysis, the information gained will be applied to accrual and development of analyses of the distribution of adiposity in persons with truncal obesity.

实现上述目标的第一步是商业立体摄影测量 (SP) 系统的技术能力，我们进行了一项研究，以确定 SP 系统的可靠性、稳定性、有效性和精度，用于量化复杂的三人体躯干的三维（3D）结构。我们使用几何实体图像和人体模型对系统进行了评估。几何实体分析表明，系统在线性、表面积和体积测量方面具有出色的评估者内部和评估者间可靠性（r > 0.99，P < 0.001）。总体而言，SP 与手动测量之间没有发现显着差异（F = 4.23，P > 0.06）。随着时间的推移，该系统在人体模型图像中表现出出色的稳定性（r > 0.99）。系统检测人体模型表面物体的精度极限（误差 > 5%）估计为表面积为 23.5cm2、体积为 32mL 的物体尺寸。在用人体模型确认 SP 图像采集系统的稳定性后，人体受试者协议得到了 NIDCR IRB 的批准。与加拿大阿尔伯塔大学签订材料转让协议，共享该校研究人员开发的 MatLab 图像分析软件 在临床研究的第一阶段，使用 SP 系统对 102 名健康志愿者进行成像，并使用 Matlab 图像分析软件将这些图像处理成 2.5 至 6 毫米之间的横向躯干切片。计算每个厚度的变异系数，以获得所需的结果测量，例如伪科布角或躯干右半部和左半部之间的面积最大差异。对这一阶段研究获得的数据的初步分析已于 2013 年 3 月在学术物理医师协会年会上公布。结果发现，除伪Cobb 测量外，所有结果测量的变异系数均等于或低于30% 的稳定性阈值。这表明该 SP 系统确实有潜力提供有关脊柱和胸壁畸形的可量化的多平面信息。该阶段的结果报告目前正在准备发布。 第一阶段的结果使我们能够进入第二阶段的研究，我们目前正在招募患有脊柱侧凸和/或肋骨畸形的受试者，以评估系统区分健康受试者和患有脊柱侧凸和胸部畸形的受试者的能力。墙壁变形。我们还将测试系统的灵敏度，以检测变形随时间的变化。在这种累积和分析之后，所获得的信息将应用于躯干肥胖者肥胖分布的累积和分析。