White matter fiber analysis using kernel dictionary learning and sparsity priors

作者：

Highlights：

• Novel fiber clustering approaches based on kernel dictionary learning and sparsity priors.

• Priors include: L-0 norm, global sparsity, group sparsity, & manifold regularization.

• Clustering analysis and validation on expert labeled set as well as subjects from Human Connectome Project.

• Results show proposed approaches group streamlines into plausible bundles, and illustrate the benefits of employing sparsity priors.

摘要

•Novel fiber clustering approaches based on kernel dictionary learning and sparsity priors.•Priors include: L-0 norm, global sparsity, group sparsity, & manifold regularization.•Clustering analysis and validation on expert labeled set as well as subjects from Human Connectome Project.•Results show proposed approaches group streamlines into plausible bundles, and illustrate the benefits of employing sparsity priors.

论文关键词：Diffusion MRI,White matter fibers,Clustering,Sparsity priors,Kernel dictionary learning,Human Connectome project

论文评审过程：Received 31 March 2018, Revised 15 May 2019, Accepted 4 June 2019, Available online 5 June 2019, Version of Record 9 June 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.06.002