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Compressed Sensing Inspired Image Reconstruction from Overlapped Projections
Joint Authors
Source
International Journal of Biomedical Imaging
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-06-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The key idea discussed in this paper is to reconstruct an image from overlapped projections so that the data acquisition process can be shortened while the image quality remains essentially uncompromised.
To perform image reconstruction from overlapped projections, the conventional reconstruction approach (e.g., filtered backprojection (FBP) algorithms) cannot be directly used because of two problems.
First, overlapped projections represent an imaging system in terms of summed exponentials, which cannot be transformed into a linear form.
Second, the overlapped measurement carries less information than the traditional line integrals.
To meet these challenges, we propose a compressive sensing-(CS-) based iterative algorithm for reconstruction from overlapped data.
This algorithm starts with a good initial guess, relies on adaptive linearization, and minimizes the total variation (TV).
Then, we demonstrated the feasibility of this algorithm in numerical tests.
American Psychological Association (APA)
Yang, Lin& Lu, Yang& Wang, G.. 2010. Compressed Sensing Inspired Image Reconstruction from Overlapped Projections. International Journal of Biomedical Imaging،Vol. 2010, no. 2010, pp.1-8.
https://search.emarefa.net/detail/BIM-460251
Modern Language Association (MLA)
Yang, Lin…[et al.]. Compressed Sensing Inspired Image Reconstruction from Overlapped Projections. International Journal of Biomedical Imaging No. 2010 (2010), pp.1-8.
https://search.emarefa.net/detail/BIM-460251
American Medical Association (AMA)
Yang, Lin& Lu, Yang& Wang, G.. Compressed Sensing Inspired Image Reconstruction from Overlapped Projections. International Journal of Biomedical Imaging. 2010. Vol. 2010, no. 2010, pp.1-8.
https://search.emarefa.net/detail/BIM-460251
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460251