Ajemba Peter, Durdle Nelson, Raso James
Dept of Electrical & Computer Eng, University of Alberta, Edmonton, AB, Canada.
Stud Health Technol Inform. 2006;123:367-71.
This paper presents a technique for evaluating torso shape and asymmetry in scoliosis using indices of point-set data obtained from torso surface scans. Point-set data are the maximum curvature points of a surface scan and contain key shape information. The centroids, distributions and densities of point-set data are indices of shape and asymmetry. The mean-squared deviations of the centroids per-cross-section from the medial plane are indicative of asymmetry. The distribution and density of point-set data are indicative of shape. Evaluations using point-set data indices were 100% in accord with those based on the cosmetic score. Indices of point-set data have more degrees of freedom and were able to distinguish between scans that have similar cosmetic scores.
本文提出了一种利用从躯干表面扫描获得的点集数据指标来评估脊柱侧弯中躯干形状和不对称性的技术。点集数据是表面扫描的最大曲率点,包含关键的形状信息。点集数据的质心、分布和密度是形状和不对称性的指标。每个横截面的质心与中间平面的均方偏差表示不对称性。点集数据的分布和密度表示形状。使用点集数据指标进行的评估与基于美容评分的评估100%一致。点集数据指标具有更多的自由度,能够区分具有相似美容评分的扫描。