A nonparametric method for automatic correction of intensity nonuniformity in MRI data
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
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DOI：
10.1109/42.668698
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发表时间：
1998-02-01
影响因子：
10.6
通讯作者：
Evans, AC
中科院分区：
文献类型：
--
作者：
Sled, JG;Zijdenbos, AP;Evans, AC
描述了一种用于校正磁共振（MR）数据中的强度不均匀性的新方法，该方法实现了高性能而不需要存在的组织类别的模型。该方法的优点在于，它可以在组织模型可用之前在自动数据分析的早期阶段应用。描述为非参数非均匀强度归一化（N3），该方法是独立的脉冲序列和不敏感的病理数据，否则可能违反模型假设。为了消除场估计对解剖结构的依赖性，采用迭代方法来估计乘性偏置场和真实组织强度的分布。使用真实的和模拟MR数据来评估该方法的性能。
A novel approach to correcting for intensity nonuniformity in magnetic resonance (MR) data is described that achieves high performance without requiring a model of the tissue classes present. The method has the advantage that it can be applied at an early stage in an automated data analysis, before a tissue model is available. Described as nonparametric nonuniform intensity normalization (N3), the method is independent of pulse sequence and insensitive to pathological data that might otherwise violate model assumptions. To eliminate the dependence of the field estimate on anatomy, an iterative approach is employed to estimate both the multiplicative bias field and the distribution of the true tissue intensities, The performance of this method is evaluated using both real and simulated MR data.