title: MRI Volume Fusion Based on 3D Shearlet Decompositions.
abstract: Nowadays many MRI scans can give 3D volume data with different contrasts, but the observers may want to view various contrasts in the same 3D volume. The conventional 2D medical fusion methods can only fuse the 3D volume data layer by layer, which may lead to the loss of interframe correlative information. In this paper, a novel 3D medical volume fusion method based on 3D band limited shearlet transform (3D BLST) is proposed. And this method is evaluated upon MRI T2* and quantitative susceptibility mapping data of 4 human brains. Both the perspective impression and the quality indices indicate that the proposed method has a better performance than conventional 2D wavelet, DT CWT, and 3D wavelet, DT CWT based fusion methods.
authors.affiliation: School of Electronic Engineering, University of Electronic Science Technology of China, Qingshuihe Campus, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu, Sichuan 611731, China.
authors.forename: Chang
authors.initials: C
authors.lastname: Duan
authors.affiliation: Research Institute of Electronic Science and Technology, University of Electronic Science Technology of China, Qingshuihe Campus, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu, Sichuan 611731, China.
authors.forename: Shuai
authors.initials: S
authors.lastname: Wang
authors.affiliation: Research Institute of Electronic Science and Technology, University of Electronic Science Technology of China, Qingshuihe Campus, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu, Sichuan 611731, China.
authors.forename: Xue Gang
authors.initials: XG
authors.lastname: Wang
authors.affiliation: Electronic Engineering College, Chengdu University of Information Technology, No. 24, Section 1, Xuefu Road, Southwest Airport Economic Development Zone, Chengdu, Sichuan 610225, China.
authors.forename: Qi Hong
authors.initials: QH
authors.lastname: Huang