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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4003782/ https://www.ncbi.nlm.nih.gov/pubmed/24817880 http://dx.doi.org/10.1155/2014/469015 |
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author | Duan, Chang Wang, Shuai Wang, Xue Gang Huang, Qi Hong |
author_facet | Duan, Chang Wang, Shuai Wang, Xue Gang Huang, Qi Hong |
author_sort | Duan, Chang |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4003782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40037822014-05-11 MRI Volume Fusion Based on 3D Shearlet Decompositions Duan, Chang Wang, Shuai Wang, Xue Gang Huang, Qi Hong Int J Biomed Imaging Research Article 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. Hindawi Publishing Corporation 2014 2014-04-10 /pmc/articles/PMC4003782/ /pubmed/24817880 http://dx.doi.org/10.1155/2014/469015 Text en Copyright © 2014 Chang Duan et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Duan, Chang Wang, Shuai Wang, Xue Gang Huang, Qi Hong MRI Volume Fusion Based on 3D Shearlet Decompositions |
title | 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_short | MRI Volume Fusion Based on 3D Shearlet Decompositions |
title_sort | mri volume fusion based on 3d shearlet decompositions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4003782/ https://www.ncbi.nlm.nih.gov/pubmed/24817880 http://dx.doi.org/10.1155/2014/469015 |
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