N4ITK: improved N3 bias correction.
N4ITK: improved N3 bias correction.
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DOI：
10.1109/tmi.2010.2046908
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发表时间：
2010-06
影响因子：
10.6
通讯作者：
Gee JC
中科院分区：
文献类型：
--
作者：
Tustison NJ;Avants BB;Cook PA;Zheng Y;Egan A;Yushkevich PA;Gee JC
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的卓越性能及其公众可用性，它一直是几项评估研究的主题。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。我们提出了一个最近开发的快速和强大的B样条逼近例程和改进的分层优化计划，以改善偏置场校正在原来的N3算法的替代。与N3算法类似，我们也将我们贡献的源代码、测试和技术文档（我们将其表示为“N4ITK”）通过美国国立卫生研究院的Insight Toolkit向公众提供。使用来自公开的Brainweb数据库的模拟数据、超极化3 He肺图像数据和9.4T死后海马数据来证明性能评估。
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.