Image Restoration Using Functional and Anatomical Information Fusion with Application to SPECT-MRI Images
Joint Authors
Meunier, J.
Benameur, S.
Mignotte, M.
Soucy, Jean-Paul
Source
International Journal of Biomedical Imaging
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-10-01
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Image restoration is usually viewed as an ill-posed problem in image processing, since there is no unique solution associated with it.
The quality of restored image closely depends on the constraints imposed of the characteristics of the solution.
In this paper, we propose an original extension of the NAS-RIF restoration technique by using information fusion as prior information with application in SPECT medical imaging.
That extension allows the restoration process to be constrained by efficiently incorporating, within the NAS-RIF method, a regularization term which stabilizes the inverse solution.
Our restoration method is constrained by anatomical information extracted from a high resolution anatomical procedure such as magnetic resonance imaging (MRI).
This structural anatomy-based regularization term uses the result of an unsupervised Markovian segmentation obtained after a preliminary registration step between the MRI and SPECT data volumes from each patient.
This method was successfully tested on 30 pairs of brain MRI and SPECT acquisitions from different subjects and on Hoffman and Jaszczak SPECT phantoms.
The experiments demonstrated that the method performs better, in terms of signal-to-noise ratio, than a classical supervised restoration approach using a Metz filter.
American Psychological Association (APA)
Benameur, S.& Mignotte, M.& Meunier, J.& Soucy, Jean-Paul. 2009. Image Restoration Using Functional and Anatomical Information Fusion with Application to SPECT-MRI Images. International Journal of Biomedical Imaging،Vol. 2009, no. 2009, pp.1-12.
https://search.emarefa.net/detail/BIM-502682
Modern Language Association (MLA)
Benameur, S.…[et al.]. Image Restoration Using Functional and Anatomical Information Fusion with Application to SPECT-MRI Images. International Journal of Biomedical Imaging No. 2009 (2009), pp.1-12.
https://search.emarefa.net/detail/BIM-502682
American Medical Association (AMA)
Benameur, S.& Mignotte, M.& Meunier, J.& Soucy, Jean-Paul. Image Restoration Using Functional and Anatomical Information Fusion with Application to SPECT-MRI Images. International Journal of Biomedical Imaging. 2009. Vol. 2009, no. 2009, pp.1-12.
https://search.emarefa.net/detail/BIM-502682
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502682