Three-dimensional Fuzzy Kernel Regression framework for registration of medical volume data

作者：

Highlights：

• We register medical volumes using our “Fuzzy Kernel Regression” framework, which is formally described.

• We describe three applications instantiating such framework of increasing complexity and performance.

• The framework is validated taking both quantitative and qualitative assessments of the applications.

摘要

Highlights•We register medical volumes using our “Fuzzy Kernel Regression” framework, which is formally described.•We describe three applications instantiating such framework of increasing complexity and performance.•The framework is validated taking both quantitative and qualitative assessments of the applications.

论文关键词：Non-rigid registration,Fuzzy regression,Mutual information,Interpolation,GPU computing

论文评审过程：Received 1 August 2012, Revised 7 February 2013, Accepted 26 March 2013, Available online 25 April 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.03.025