Abstract
In this paper, we review joint sparse recovery based reconstruction approach for inverse scattering problems that can solve the nonlnear inverse scattering probleme without linearization or iterative Green's function update. The main idea is to exploit the common support conditions of anomalies during multiple illumination or current injections, after which unknown potential or field can be estimated using recursive integral equation relationship. Explicit derivation for electric impedance tomography and diffuse optical tomography are discussed.
Original language | English |
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Title of host publication | Image Reconstruction from Incomplete Data VIII |
Editors | Philip J. Bones, Michael A. Fiddy, Michael A. Fiddy, Rick P. Millane, Philip J. Bones, Rick P. Millane |
Publisher | SPIE |
ISBN (Electronic) | 9781628417661, 9781628417661 |
DOIs | |
State | Published - 2015 |
Event | Image Reconstruction from Incomplete Data VIII - San Diego, United States Duration: 11 Aug 2015 → 12 Aug 2015 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 9600 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | Image Reconstruction from Incomplete Data VIII |
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Country/Territory | United States |
City | San Diego |
Period | 11/08/15 → 12/08/15 |
Bibliographical note
Publisher Copyright:© 2015 SPIE.
Keywords
- Inverse scattering
- compressed sensing
- diffuse optical tomography
- electric impedance tomography
- joint sparse recovery