Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.
Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.
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DOI：
10.1016/j.neuroimage.2013.07.060
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发表时间：
2013-12
期刊：
影响因子：
5.7
通讯作者：
Prince JL
中科院分区：
文献类型：
--
作者：
Chen M;Carass A;Oh J;Nair G;Pham DL;Reich DS;Prince JL
脊髓分割是分析多发性硬化症等神经系统疾病的重要步骤。多项研究表明疾病进展与脊髓萎缩和形状变化相关指标之间存在相关性。目前的做法主要涉及手动或半自动分割脊髓，这对于大型数据集来说可能不一致且耗时。提出了一种从磁共振图像中分割脊髓和脑脊液的自动方法。该方法使用可变形图集和拓扑约束来产生对噪声和伪影具有鲁棒性的结果。该方法旨在轻松扩展到具有不同模式、分辨率和视场的新数据。在两个不同的数据集上进行验证。第一个包括仅以颈椎 (C1-C5) 为中心的磁化转移 T2* 加权梯度回波 MRI。第二个包括 T1 加权 MRI，覆盖颈椎和部分胸椎 (C1-T4)。与手动分割相比，结果非常准确。进行了一项试点研究，以证明这种新方法在多发性硬化症研究和临床研究中的潜在效用。
Spinal cord segmentation is an important step in the analysis of neurological diseases such as multiple sclerosis. Several studies have shown correlations between disease progression and metrics relating to spinal cord atrophy and shape changes. Current practices primarily involve segmenting the spinal cord manually or semi-automatically, which can be inconsistent and time-consuming for large datasets. An automatic method that segments the spinal cord and cerebrospinal fluid from magnetic resonance images is presented. The method uses a deformable atlas and topology constraints to produce results that are robust to noise and artifacts. The method is designed to be easily extended to new data with different modalities, resolutions, and fields of view. Validation was performed on two distinct datasets. The first consists of magnetization transfer-prepared T2*-weighted gradient-echo MRI centered only on the cervical vertebrae (C1-C5). The second consists of T1-weighted MRI that cover both the cervical and portions of the thoracic vertebrae (C1-T4). Results were found to be highly accurate in comparison to manual segmentations. A pilot study was carried out to demonstrate the potential utility of this new method for research and clinical studies of multiple sclerosis.
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