Department of Radiology, University of Pennsylvania, Philadelphia, PA 19140, USA.
IEEE Trans Med Imaging. 2010 Jun;29(6):1310-20. doi: 10.1109/TMI.2010.2046908. Epub 2010 Apr 8.
A variant of the popular nonparametric nonuniform intensity normalization (N3) algorithm is proposed for bias field correction. Given the superb performance of N3 and its public availability, it has been the subject of several evaluation studies. These studies have demonstrated the importance of certain parameters associated with the B-spline least-squares fitting. We propose the substitution of a recently developed fast and robust B-spline approximation routine and a modified hierarchical optimization scheme for improved bias field correction over the original N3 algorithm. Similar to the N3 algorithm, we also make the source code, testing, and technical documentation of our contribution, which we denote as "N4ITK," available to the public through the Insight Toolkit of the National Institutes of Health. Performance assessment is demonstrated using simulated data from the publicly available Brainweb database, hyperpolarized (3)He lung image data, and 9.4T postmortem hippocampus data.
提出了一种流行的非参数非均匀强度归一化(N3)算法的变体,用于偏置场校正。鉴于 N3 的出色性能及其公开可用性,它已经成为了几个评估研究的主题。这些研究表明了与 B 样条最小二乘拟合相关的某些参数的重要性。我们提出用最近开发的快速和鲁棒的 B 样条逼近例程以及修改后的层次优化方案来替代原始 N3 算法,以实现更好的偏置场校正。与 N3 算法类似,我们还通过美国国立卫生研究院的 Insight Toolkit 将我们的贡献的源代码、测试和技术文档,称为“N4ITK”,提供给公众。使用来自公开的 Brainweb 数据库、超极化(3)氦肺部图像数据和 9.4T 尸检海马体数据的模拟数据来演示性能评估。