MRI Volume Fusion Based on 3D Shearlet Decompositions

MRI Volume Fusion Based on 3D Shearlet Decompositions

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 infor...

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Main Authors: Chang Duan, Shuai Wang, Xue Gang Wang, Qi Hong Huang
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2014/469015
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spelling doaj-f9be301373be44558d6f7eb584ae69372020-11-24T22:15:30ZengHindawi LimitedInternational Journal of Biomedical Imaging1687-41881687-41962014-01-01201410.1155/2014/469015469015MRI Volume Fusion Based on 3D Shearlet DecompositionsChang Duan0Shuai Wang1Xue Gang Wang2Qi Hong Huang3School of Electronic Engineering, University of Electronic Science Technology of China, Qingshuihe Campus, No. 2006, Xiyuan Avenue, West Hi-Tech Zone, Chengdu, Sichuan 611731, ChinaResearch 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, ChinaResearch 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, ChinaElectronic Engineering College, Chengdu University of Information Technology, No. 24, Section 1, Xuefu Road, Southwest Airport Economic Development Zone, Chengdu, Sichuan 610225, ChinaNowadays 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.http://dx.doi.org/10.1155/2014/469015
collection DOAJ
language English
format Article
sources DOAJ
author Chang Duan
Shuai Wang
Xue Gang Wang
Qi Hong Huang
spellingShingle Chang Duan
Shuai Wang
Xue Gang Wang
Qi Hong Huang
MRI Volume Fusion Based on 3D Shearlet Decompositions
International Journal of Biomedical Imaging
author_facet Chang Duan
Shuai Wang
Xue Gang Wang
Qi Hong Huang
author_sort Chang Duan
title MRI Volume Fusion Based on 3D Shearlet Decompositions
title_short MRI Volume Fusion Based on 3D Shearlet Decompositions
title_full MRI Volume Fusion Based on 3D Shearlet Decompositions
title_fullStr MRI Volume Fusion Based on 3D Shearlet Decompositions
title_full_unstemmed MRI Volume Fusion Based on 3D Shearlet Decompositions
title_sort mri volume fusion based on 3d shearlet decompositions
publisher Hindawi Limited
series International Journal of Biomedical Imaging
issn 1687-4188
1687-4196
publishDate 2014-01-01
description 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.
url http://dx.doi.org/10.1155/2014/469015
work_keys_str_mv AT changduan mrivolumefusionbasedon3dshearletdecompositions
AT shuaiwang mrivolumefusionbasedon3dshearletdecompositions
AT xuegangwang mrivolumefusionbasedon3dshearletdecompositions
AT qihonghuang mrivolumefusionbasedon3dshearletdecompositions
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