Fast image reconstruction methods for fully 3D multispectral optical bioluminescence tomography

Sangtae Ahn, Abhijit Chaudhari, Felix Darvas, Charles A. Bouman, Richard M. Leahy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We investigate fast iterative image reconstruction methods for fully 3D multispectral optical bioluminescence tomography where inhomogeneous optical properties are modeled using the finite element mediod (FEM). We compare two approaches to incorporating the forward model into the solution of the inverse problem. In the direct calculation approach we compute the full forward model by repeated solution of the FEM problem, once for each potential source location. In the on-thefly approach, we do not explicitly solve for the full forward model. Instead, the solution to the forward problem is included implicitly in the formulation of the inverse problem, and the FEM is solved once at each iteration for the current image estimate. In both approaches we use reordered Cholesky factorization and substitution (CFS) to solve the FEM problem. We compare the computation cost of these two approaches, concluding that the on-the-fly approach can lead to substantial reductions in cost when combined with a rapidly converging iterative algorithm.

Original languageEnglish (US)
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Pages229-232
Number of pages4
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: Apr 12 2007Apr 15 2007

Other

Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
CountryUnited States
CityArlington, VA
Period4/12/074/15/07

Fingerprint

Optical Tomography
Bioluminescence
Computer-Assisted Image Processing
Image reconstruction
Tomography
Inverse problems
Costs and Cost Analysis
Research Design
Factorization
Costs
Substitution reactions
Optical properties

Keywords

  • Cholesky factorization
  • Fast image reconstruction
  • Finite element methods
  • Multispectra1imaging
  • Optical bioluminescence tomography

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Medicine(all)

Cite this

Ahn, S., Chaudhari, A., Darvas, F., Bouman, C. A., & Leahy, R. M. (2007). Fast image reconstruction methods for fully 3D multispectral optical bioluminescence tomography. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 229-232). [4193264] https://doi.org/10.1109/ISBI.2007.356830

Fast image reconstruction methods for fully 3D multispectral optical bioluminescence tomography. / Ahn, Sangtae; Chaudhari, Abhijit; Darvas, Felix; Bouman, Charles A.; Leahy, Richard M.

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. p. 229-232 4193264.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ahn, S, Chaudhari, A, Darvas, F, Bouman, CA & Leahy, RM 2007, Fast image reconstruction methods for fully 3D multispectral optical bioluminescence tomography. in 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings., 4193264, pp. 229-232, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07, Arlington, VA, United States, 4/12/07. https://doi.org/10.1109/ISBI.2007.356830
Ahn S, Chaudhari A, Darvas F, Bouman CA, Leahy RM. Fast image reconstruction methods for fully 3D multispectral optical bioluminescence tomography. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. p. 229-232. 4193264 https://doi.org/10.1109/ISBI.2007.356830
Ahn, Sangtae ; Chaudhari, Abhijit ; Darvas, Felix ; Bouman, Charles A. ; Leahy, Richard M. / Fast image reconstruction methods for fully 3D multispectral optical bioluminescence tomography. 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. 2007. pp. 229-232
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