Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution

作者：

Highlights：

• We fuse the brain atlas from real diagnostic MR images with high inter-slice thickness.

• All images are processed through the two-stage learning-based super-resolution.

• Groupwise registration is applied for unbiased atlas fusion.

摘要

Highlights•We fuse the brain atlas from real diagnostic MR images with high inter-slice thickness.•All images are processed through the two-stage learning-based super-resolution.•Groupwise registration is applied for unbiased atlas fusion.

论文关键词：Brain atlas,Super-resolution,Image enhancement,Sparsity learning,Random forest regression,Groupwise registration

论文评审过程：Received 4 February 2016, Revised 6 September 2016, Accepted 21 September 2016, Available online 29 September 2016, Version of Record 27 November 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.09.019