Souplet J-C, Lebrun C, Chanalet S, Ayache N, Malandain G
INRIA - EPI Asclépios, 2004, route des Lucioles, B.P. 93, 06902 Sophia-Antipolis cedex, France.
Rev Neurol (Paris). 2009 Jan;165(1):7-14. doi: 10.1016/j.neurol.2008.04.009. Epub 2008 Jun 2.
Different sets of criteria are currently used for the diagnosis of multiple sclerosis (MS). Some are based on clinical features, while others are related to imaging findings. Among the image processing systems, specific criteria include spatial dissemination of lesions in one image or their temporal dissemination in images acquired at different time points. In addition, the evolution of the lesion load can be used to evaluate treatment efficiency in MS clinical research. Consequently, obtaining a precise segmentation of the MS lesion appears to be crucial. In the literature, a number of semi-automated or completely automated approaches have been proposed enabling a reduction of the inter- and intra-expert variability for manual delineations. A comprehensive state-of-the-art classification of the most representative systems is presented here.
目前，多发性硬化症（MS）的诊断采用了不同的标准集。有些基于临床特征，而另一些则与影像学表现有关。在图像处理系统中，特定标准包括病变在一幅图像中的空间分布或其在不同时间点获取的图像中的时间分布。此外，病变负荷的变化可用于评估MS临床研究中的治疗效果。因此，获得MS病变的精确分割似乎至关重要。在文献中，已经提出了许多半自动或完全自动化的方法，以减少专家间和专家内手动描绘的变异性。本文介绍了最具代表性系统的全面最新分类。
