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Reordering for Improved Constrained Reconstruction from Undersampled k-Space Data
Joint Authors
Adluru, Ganesh
DiBella, Edward V. R.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-12-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Recently, there has been a significant interest in applying reconstruction techniques, like constrained reconstruction or compressed sampling methods, to undersampled k-space data in MRI.
Here, we propose a novel reordering technique to improve these types of reconstruction methods.
In this technique, the intensities of the signal estimate are reordered according to a preprocessing step when applying the constraints on the estimated solution within the iterative reconstruction.
The ordering of the intensities is such that it makes the original artifact-free signal monotonic and thus minimizes the finite differences norm if the correct image is estimated; this ordering can be estimated based on the undersampled measured data.
Theory and example applications of the method for accelerating myocardial perfusion imaging with respiratory motion and brain diffusion tensor imaging are presented.
American Psychological Association (APA)
Adluru, Ganesh& DiBella, Edward V. R.. 2008. Reordering for Improved Constrained Reconstruction from Undersampled k-Space Data. International Journal of Biomedical Imaging،Vol. 2008, no. 2008, pp.1-12.
https://search.emarefa.net/detail/BIM-464260
Modern Language Association (MLA)
Adluru, Ganesh& DiBella, Edward V. R.. Reordering for Improved Constrained Reconstruction from Undersampled k-Space Data. International Journal of Biomedical Imaging No. 2008 (2008), pp.1-12.
https://search.emarefa.net/detail/BIM-464260
American Medical Association (AMA)
Adluru, Ganesh& DiBella, Edward V. R.. Reordering for Improved Constrained Reconstruction from Undersampled k-Space Data. International Journal of Biomedical Imaging. 2008. Vol. 2008, no. 2008, pp.1-12.
https://search.emarefa.net/detail/BIM-464260
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464260