Joint sparsity-driven non-iterative simultaneous reconstruction of absorption and scattering in diffuse optical tomography

Cited 22 time in webofscience Cited 18 time in scopus
  • Hit : 366
  • Download : 306
Some optical properties of a highly scattering medium, such as tissue, can be reconstructed non-invasively by diffuse optical tomography (DOT). Since the inverse problem of DOT is severely ill-posed and nonlinear, iterative methods that update Green's function have been widely used to recover accurate optical parameters. However, recent research has shown that the joint sparse recovery principle can provide an important clue in achieving reconstructions without an iterative update of Green's function. One of the main limitations of the previous work is that it can only be applied to absorption parameter reconstruction. In this paper, we extended this theory to estimate the absorption and scattering parameters simultaneously when the background optical properties are known. The main idea for such an extension is that a joint sparse recovery step gives us unknown fluence on the estimated support set, which eliminates the nonlinearity in an integral equation for the simultaneous estimation of the optical parameters. Our numerical results show that the proposed algorithm reduces the cross-talk artifacts between the parameters and provides improved reconstruction results compared to existing methods.
Publisher
OPTICAL SOC AMER
Issue Date
2013-11
Language
English
Article Type
Article
Keywords

MULTIPLE-MEASUREMENT VECTORS; BORN ITERATIVE METHOD; BREAST-CANCER RISK; IN-VIVO; INVERSE PROBLEMS; TURBID MEDIA; IMAGES; APPROXIMATION; OPTIMIZATION; SPECTROSCOPY

Citation

OPTICS EXPRESS, v.21, no.22, pp.26589 - 26604

ISSN
1094-4087
DOI
10.1364/OE.21.026589
URI
http://hdl.handle.net/10203/189352
Appears in Collection
AI-Journal Papers(저널논문)
Files in This Item
83734.pdf(2.47 MB)Download
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 22 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0