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Conference Paper
Biomedical Optics
Miami, Florida United States
April 11-14, 2010
ISBN: 978-1-55752-887-2
Imaging Theory (BSuE)

Sparse Image Reconstruction in Diffuse Optical Tomography: An Application of Compressed Sensing

Mehmet Süzen, Alexia Giannoula, Peyman Zirak, Néstor Oliverio, Udo Weigel, Parisa Farzam, and Turgut Durduran

http://dx.doi.org/10.1364/BIOMED.2010.BSuE6


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Abstract

We study Compressed Sensing (CS) framework for optical tomography. Simulations are performed in linear inverse diffuse optical image reconstructions. Potential benefits and shortcomings of CS is discussed.

© 2010 OSA

OCIS Codes
(100.0100) Image processing : Image processing
(100.3190) Image processing : Inverse problems
(170.0170) Medical optics and biotechnology : Medical optics and biotechnology
(170.3010) Medical optics and biotechnology : Image reconstruction techniques

Citation
M. Süzen, A. Giannoula, P. Zirak, N. Oliverio, U. Weigel, P. Farzam, and T. Durduran, "Sparse Image Reconstruction in Diffuse Optical Tomography: An Application of Compressed Sensing," in Biomedical Optics and 3-D Imaging, OSA Technical Digest (CD) (Optical Society of America, 2010), paper BSuE6.
http://www.opticsinfobase.org/abstract.cfm?URI=BIOMED-2010-BSuE6


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