Image Fusion of CT and MR with Sparse Representation in NSST Domain
Joint Authors
Wang, Yuan-Yuan
Zhang, Huan
Qiu, Chen-Hui
Xia, Shun-Ren
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-09
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Multimodal image fusion techniques can integrate the information from different medical images to get an informative image that is more suitable for joint diagnosis, preoperative planning, intraoperative guidance, and interventional treatment.
Fusing images of CT and different MR modalities are studied in this paper.
Firstly, the CT and MR images are both transformed to nonsubsampled shearlet transform (NSST) domain.
So the low-frequency components and high-frequency components are obtained.
Then the high-frequency components are merged using the absolute-maximum rule, while the low-frequency components are merged by a sparse representation- (SR-) based approach.
And the dynamic group sparsity recovery (DGSR) algorithm is proposed to improve the performance of the SR-based approach.
Finally, the fused image is obtained by performing the inverse NSST on the merged components.
The proposed fusion method is tested on a number of clinical CT and MR images and compared with several popular image fusion methods.
The experimental results demonstrate that the proposed fusion method can provide better fusion results in terms of subjective quality and objective evaluation.
American Psychological Association (APA)
Qiu, Chen-Hui& Wang, Yuan-Yuan& Zhang, Huan& Xia, Shun-Ren. 2017. Image Fusion of CT and MR with Sparse Representation in NSST Domain. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1142418
Modern Language Association (MLA)
Qiu, Chen-Hui…[et al.]. Image Fusion of CT and MR with Sparse Representation in NSST Domain. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1142418
American Medical Association (AMA)
Qiu, Chen-Hui& Wang, Yuan-Yuan& Zhang, Huan& Xia, Shun-Ren. Image Fusion of CT and MR with Sparse Representation in NSST Domain. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1142418
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142418