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一种用于从背部形状数据重建脊柱侧凸畸形的主动形状模型。

An active shape model for the reconstruction of scoliotic deformities from back shape data.

作者信息

Huysmans T, Moens P, Van Audekercke R

机构信息

Department of Mechanical Engineering, Division of Biomechanics and Engineering Design, Katholieke Universiteit Leuven, Celestijnenlaan 200 A, 3001 Heverlee, Belgium.

出版信息

Clin Biomech (Bristol). 2005 Oct;20(8):813-21. doi: 10.1016/j.clinbiomech.2004.06.015.

Abstract

OBJECTIVE

The objective of the present study is to improve the accuracy and reliability of the spinal midline reconstructions in scoliosis from back shape data. Design. An active shape model which covers the variety of scoliotic curves with a minimum of adjustable parameters is designed for the reconstruction of the spinal midline based on rasterstereographic back surface measurements.

BACKGROUND

To reduce the number of X-rays needed for patients with a scoliosis, an automatic method was developed for the reconstruction of spinal deformities from back shape data.

METHODS

264 digital X-rays of 264 patients with scoliosis were used as a training set. By examining the statistics of the vertebral body centres a point distribution model was derived. The model is used as a basis to reconstruct the spinal midline from back shape data (active shape model).

RESULTS

478 rasterstereographs of 114 scoliotic patients have been evaluated with this new procedure and with an existing procedure. Both procedures deliver a three-dimensional curve of the spinal midline. The frontal projections of these spinal midlines are compared with the vertebral centres of the corresponding 478 X-rays. The active shape model improved the results as compared to the existing procedure from sigma(x)=3.4mm to sigma(x)=3.0mm.

CONCLUSION

The use of the active shape model improves the overall accuracy of the spinal midline reconstructions in scoliosis from back shape data.RELEVANCE. Improvements to the accuracy and the reliability of the three-dimensional spinal reconstruction based on back shape data, can lead to an additional reduction of X-rays for patients with a scoliosis.

摘要

目的

本研究的目的是提高基于背部形状数据的脊柱侧弯中脊柱中线重建的准确性和可靠性。设计。设计了一种主动形状模型,该模型以最少的可调参数覆盖各种脊柱侧弯曲线,用于基于光栅立体测量的背部表面数据重建脊柱中线。

背景

为了减少脊柱侧弯患者所需的X射线数量,开发了一种从背部形状数据重建脊柱畸形的自动方法。

方法

将264例脊柱侧弯患者的264张数字化X射线用作训练集。通过检查椎体中心的统计数据得出点分布模型。该模型用作从背部形状数据重建脊柱中线的基础(主动形状模型)。

结果

使用这种新方法和现有方法对114例脊柱侧弯患者的478张光栅立体图进行了评估。两种方法均能生成脊柱中线的三维曲线。将这些脊柱中线的正位投影与相应478张X射线的椎体中心进行比较。与现有方法相比,主动形状模型将结果从sigma(x)=3.4mm提高到了sigma(x)=3.0mm。

结论

使用主动形状模型可提高基于背部形状数据的脊柱侧弯中脊柱中线重建的整体准确性。相关性。基于背部形状数据的三维脊柱重建的准确性和可靠性的提高,可以进一步减少脊柱侧弯患者的X射线使用量。

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