Emrani Mahdieh, Kirdeikis Robert, Igwe Philip, Hill Doug, Adeeb Samer
Glenrose Rehabilitation Hospital, Alberta Health Services, Edmonton, Alberta, Canada T5G 0B7.
J Biomech. 2009 Sep 18;42(13):2200-4. doi: 10.1016/j.jbiomech.2009.06.048. Epub 2009 Jul 31.
Visible surface asymmetries such as uneven shoulders, waist and hips, shoulder height differences and a shoulder blade prominence are often the most troublesome features associated with adolescent scoliosis. Treatment considerations are influenced by the severity and changes over time of these asymmetries. Outcomes are judged on how well the asymmetries are improved towards a normal trunk shape. In this paper, a deformable self organizing feature map (SOFM) is used as a geometric surface reconstruction tool to model the torso surface of subjects with and without scoliosis. The proposed parameterization technique provides a means of quantifying the surface asymmetries and assessing the changes due to either natural history or the effects of treatment. For evaluation 10 control subjects without scoliosis and 10 adolescents with scoliosis were scanned and their torsos were reconstructed. This preliminary study demonstrates that in around 5 min a torso scan with 60,000 data points can be transformed into a 2562 nodes mesh using SOFM. The accuracy of the final mesh is around 1.40 mm on average. The high accuracy and speed of this technique, makes it well suitable to be used in a clinical setting to assess surface features of subjects with scoliosis.
明显的体表不对称,如双肩不平、腰臀不对称、肩高差异以及肩胛骨突出,往往是与青少年脊柱侧弯相关的最棘手特征。治疗方案的考量会受到这些不对称现象的严重程度及其随时间变化情况的影响。治疗效果则依据不对称现象向正常躯干形态改善的程度来评判。在本文中,一种可变形自组织特征映射(SOFM)被用作几何曲面重建工具,以对患有和未患有脊柱侧弯的受试者的躯干表面进行建模。所提出的参数化技术提供了一种量化体表不对称并评估自然病程或治疗效果所导致变化的方法。为进行评估,对10名无脊柱侧弯的对照受试者和10名患有脊柱侧弯的青少年进行了扫描,并重建了他们的躯干。这项初步研究表明,使用SOFM可在约5分钟内将具有60,000个数据点的躯干扫描数据转换为一个具有2562个节点的网格。最终网格的平均精度约为1.40毫米。该技术的高精度和高速度使其非常适合在临床环境中用于评估脊柱侧弯受试者的体表特征。