基于三维剪切波分解的磁共振成像容积融合
MRI Volume Fusion Based on 3D Shearlet Decompositions.
作者信息
Duan Chang, Wang Shuai, Wang Xue Gang, Huang Qi Hong
机构信息
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.
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.
出版信息
Int J Biomed Imaging. 2014;2014:469015. doi: 10.1155/2014/469015. Epub 2014 Apr 10.
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.
如今，许多磁共振成像（MRI）扫描可以提供具有不同对比度的三维体数据，但观察者可能希望在同一三维体中查看各种对比度。传统的二维医学融合方法只能逐层融合三维体数据，这可能导致帧间相关信息的丢失。本文提出了一种基于三维带限剪切波变换（3D BLST）的新型三维医学体融合方法。并根据4个人脑的MRI T2*和定量磁化率映射数据对该方法进行了评估。视觉印象和质量指标均表明，该方法比传统的基于二维小波、双树复小波变换（DT CWT）以及三维小波、DT CWT的融合方法具有更好的性能。
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