Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: application in multiple sclerosis.
Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: application in multiple sclerosis.
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DOI：
10.1016/j.neuroimage.2009.12.121
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发表时间：
2010-04-01
期刊：
影响因子：
5.7
通讯作者：
Filippi M
中科院分区：
文献类型：
--
作者：
Horsfield MA;Sala S;Neema M;Absinta M;Bakshi A;Sormani MP;Rocca MA;Bakshi R;Filippi M
提出了一种从磁共振图像中半自动分割脊髓的新方法。该方法基于绳索表面的主动表面(AS)模型，具有内在的光滑性约束。该模型是通过用户在几个有代表性的切片上标记近似的脐带中心线来初始化的，并且紧凑的表面参数化导致快速分割，大约为一分钟。使用从正常人和多发性硬化症患者获得的颈椎T1加权三维图像，评估了观察者内部和观察者之间的重复性，并与现有的脊髓分割方法进行了有利的比较。虽然AS方法与手工勾画相比高估了大约14%的脐带面积，但脐带横截面积和临床残疾评分之间的相关性证实了新方法在测量多发性硬化症患者脊髓萎缩方面的相关性。颈椎和胸部的2-D多层T2加权图像也显示了脊髓的分割。由于脊髓中心线是作为分割过程的一部分提取的内在参数，因此可以对图像进行重采样，使得中心线形成新图像的一个坐标轴，从而允许对脊髓结构和病理的简单可视化；这可以在标准放射学实践中得到更广泛的应用。
A new semi-automatic method for segmenting the spinal cord from MR images is presented. The method is based on an active surface (AS) model of the cord surface, with intrinsic smoothness constraints. The model is initialized by the user marking the approximate cord center-line on a few representative slices, and the compact surface parametrization results in a rapid segmentation, taking on the order of one minute. Using 3-D acquired T1-weighted images of the cervical spine from human controls and patients with multiple sclerosis, the intra- and inter-observer reproducibilities were evaluated, and compared favorably with an existing cord segmentation method. While the AS method overestimated the cord area by approximately 14% compared to manual outlining, correlations between cord cross-sectional area and clinical disability scores confirmed the relevance of the new method in measuring cord atrophy in multiple sclerosis. Segmentation of the cord from 2-D multi-slice T2-weighted images is also demonstrated over the cervical and thoracic region. Since the cord center-line is an intrinsic parameter extracted as part of the segmentation process, the image can be resampled such that the center-line forms one coordinate axis of a new image, allowing simple visualization of the cord structure and pathology; this could find wider application in standard radiological practice.
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