Stereo photogrammetry soft tissue imaging

立体摄影测量软组织成像

• 批准号: 10008635
• 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/10008635
• 关键词: Alberta province; Algorithmic Analysis; Area; Canada; Central obesity; Chest wall structure; Clinical Research; Complex; Computer software; Data Analyses; Deformity; Development; Dimensions; Disease; Dysmorphology; Exhibits; Goals; Growth and Development function; Human; Image; Image Analysis; Institutional Review Boards; Left; Limb structure; Manikins; Manuals; Measurement; Measures; Modification; 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; Tissue imaging; Universities; Variant; age related; healthy volunteer; human subject; material transfer agreement; meetings; rib bone structure; scoliosis; soft tissue; software development; three dimensional structure; treatment response

The first step performed to achieve the goals stated above was to assess 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. Modifications in the pseudocobb analysis algorithm have recently been completed and have yielded more reliable results. The findings above indicate 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 continuing to accrue 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 have now accrued the first 50 subjects with scoliosis and are beginning interim analyses. We have also begun testing the system's 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评估商用立体图（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，以量化人躯干的复杂三维（3D）结构。我们使用几何固体和人类形式的人体模型对系统进行了评估。对几何固体的分析表明，系统性，表面积和体积测量值的系统内和评估者间可靠性出色（r> 0.99，p <0.001）。总体而言，SP和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，该系统在人体模型的图像中表现出极好的稳定性（r> 0.99）。估计表面积的对象大小为23.5厘米，体积的对象大小为23.5厘米，体积的对象大小为23.5cm2，用于检测人体模型表面上的物体的精度（误差> 5％）的极限。在用人类形式的人体模型确认了SP图像采集系统的稳定性后，人类受试者方案得到了NIDCR IRB的批准。与加拿大艾伯塔大学的材料转移协议已完成，以分享由研究人员开发的MATLAB图像分析软件 在临床研究的第一阶段中，使用SP系统对102名健康志愿者进行了成像，并使用MATLAB图像分析软件将这些图像处理成2.5至6 mm之间的横向躯干切片。计算每个厚度的变异系数，以实现所需的结果度量，例如伪BB角或躯干的右侧和左侧一半之间的面积差。 2013年3月，在学术生理学家协会年会上介绍了该研究阶段获得的数据的初步分析。发现所有结果度量的变异系数在稳定性的30％阈值下方或低于或低于pseudocoBB测度外。伪BB分析算法中的修改最近已完成，并产生了更可靠的结果。 上面的发现表明，该SP系统确实有可能提供有关脊柱和胸壁畸形的可量化的多平面信息。目前正在准备出版此阶段结果的报告。 第一阶段的结果使我们能够继续进行研究的第二阶段，并且我们继续累积患有脊柱侧弯和/或肋骨畸形的受试者，以评估系统将健康受试者与脊柱侧弯和患有脊柱侧弯的人区分开的能力，胸壁畸形。现在，我们已经累积了前50名患有脊柱侧弯的受试者，并开始进行临时分析。 我们还开始测试系统的敏感性，以检测随着时间的推移变形的变化。在这种应计和分析之后，获得的信息将用于应计和开发截短肥胖者肥胖分布的分析。