Reliability and validity of an algorithm for fuzzy tissue segmentation of MRI
Reliability and validity of an algorithm for fuzzy tissue segmentation of MRI
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DOI：
10.1097/00004728-199805000-00021
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发表时间：
1998-05-01
影响因子：
1.3
通讯作者：
Links, JM
中科院分区：
文献类型：
--
作者：
Reiss, AL;Hennessey, JG;Links, JM
目的：描述一种新的多步、基于体积的组织分割算法，该算法产生模糊(或概率)体素描述。该算法可以准确地分割灰质、白质和脑脊液，可应用于单通道高分辨率和多光谱(MultiECHO)磁共振图像。方法：通过评估(A)算法在时间、评级和脉冲序列上的稳定性；(B)当应用于真实图像数据集和合成图像数据集时该方法的准确性；以及(C)具有特定遗传条件(脆性X综合征)的个体与正常对照对象之间的特定组织体积差异，来评估该方法的可靠性和有效性。结果：该算法具有较高的可靠性、准确性和有效性。与脆性X综合征相关的尾状灰质体积增加的发现在本样本中重复。结论：由于这种分割方法结合了“模糊”或概率方法，它有可能更准确地处理部分体积效应、“纯”组织间隔内的解剖变异，以及由于疾病和治疗而导致的组织体积的更细微变化。该方法是公共领域中可用的软件的组成部分，并已在廉价的个人计算机上实现，因此为确定CNS的正常发展和病理的状态和进展提供了一种有吸引力的和有前途的方法。
Purpose: A new multistep, volumetric-based tissue segmentation algorithm that results in fuzzy (or probabilistic) voxel description is described. This algorithm is designed to accurately segment gray matter, white matter, and CSF and can be applied to both single channel high resolution and multispectral (multiecho) MR images.Method: The reliability and validity of this method are evaluated by assessing (a) the stability of the algorithm across time, rater, and pulse sequence; (b) the accuracy of the method when applied to both real and synthetic image datasets; and (c) differences in specific tissue volumes between individuals with a specific genetic condition (fragile X syndrome) and normal control subjects.Results: The algorithm was found to have high reliability, accuracy, and validity. The finding of increased caudate gray matter volume associated with the fragile X syndrome is replicated in this sample.Conclusion: Since this segmentation approach incorporates "fuzzy" or probabilistic methods, it has the potential to more accurately address partial volume effects, anatomical variation within "pure" tissue compartments, and more subtle changes in tissue volumes as a result of disease and treatment. The method is a component of software that is available in the public domain and has been implemented on an inexpensive personal computer, thus offering an attractive and promising method for determining the status and progression of both normal development and pathology of the CNS.