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腰椎 CT 和 MRI 图像中脊柱中线、椎体和椎间盘的自动检测。

Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine.

机构信息

Faculty of Electrical Engineering, University of Ljubljana, Trzaska cesta 25, SI-1000 Ljubljana, Slovenia.

出版信息

Phys Med Biol. 2010 Jan 7;55(1):247-64. doi: 10.1088/0031-9155/55/1/015.

Abstract

We propose a completely automated algorithm for the detection of the spinal centreline and the centres of vertebral bodies and intervertebral discs in images acquired by computed tomography (CT) and magnetic resonance (MR) imaging. The developed methods are based on the analysis of the geometry of spinal structures and the characteristics of CT and MR images and were evaluated on 29 CT and 13 MR images of lumbar spine. The overall mean distance between the obtained and the ground truth spinal centrelines and centres of vertebral bodies and intervertebral discs were 1.8 +/- 1.1 mm and 2.8 +/- 1.9 mm, respectively, and no considerable differences were detected among the results for CT, T(1)-weighted MR and T(2)-weighted MR images. The knowledge of the location of the spinal centreline and the centres of vertebral bodies and intervertebral discs is valuable for the analysis of the spine. The proposed method may therefore be used to initialize the techniques for labelling and segmentation of vertebrae.

摘要

我们提出了一种完全自动化的算法,用于在 CT 和磁共振成像(MR)采集的图像中检测脊柱中心线和椎体及椎间盘的中心。所开发的方法基于对脊柱结构的几何形状和 CT 和 MR 图像特征的分析,并在 29 例 CT 和 13 例腰椎 MR 图像上进行了评估。获得的和真实的脊柱中心线以及椎体和椎间盘中心之间的总体平均距离分别为 1.8 +/- 1.1 毫米和 2.8 +/- 1.9 毫米,并且在 CT、T1 加权 MR 和 T2 加权 MR 图像的结果之间未检测到明显差异。了解脊柱中心线和椎体及椎间盘中心的位置对于脊柱分析非常有价值。因此,所提出的方法可用于初始化对椎体进行标记和分割的技术。

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