An improved anisotropic hierarchical fuzzy c-means method based on multivariate student t-distribution for brain MRI segmentation

作者：

Highlights：

• Reducing the effect of noise and preserving more details.

• Using multivariate t-distribution to improve the robustness.Using hierarchical FCM to reduce the effect of outliers.

• The method can obtain more accurate segmented results and estimated bias field.

摘要

•Reducing the effect of noise and preserving more details.•Using multivariate t-distribution to improve the robustness.Using hierarchical FCM to reduce the effect of outliers.•The method can obtain more accurate segmented results and estimated bias field.

论文关键词：Anisotropic spatial information,Hierarchical FCM,Multivariate student t-distribution,Intensity inhomogeneity

论文评审过程：Received 28 October 2015, Revised 29 February 2016, Accepted 24 June 2016, Available online 29 June 2016, Version of Record 17 July 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.06.020