Compressed system models in multispectral optoacoustic tomography

Vasilis Ntziachristos, Amir Rosenthal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


One of the challenges of multispectral optoacoustic tomography (MSOT) is the reconstruction of the images from the projection data. Conventionally, analytical inversion formulae are used owing to their simplicity and numerical efficiency. However, such solutions are often limited to ideal detection scenarios and lead to image artifacts when the system characteristics deviate from the assumed ones. In such cases, image quality may be improved by adopting a model-based approach in which the MSOT system is modeled via a matrix relation, which is subsequently inverted using established algebraic techniques to reconstruct the image. Nonetheless, model-based inversion is usually more computationally demanding than its analytical counterparts owing to the large size of the model matrix. In this paper, we analyze the sparsity that exists in the model matrix and show how it may be exploited for accelerating image reconstruction. In particular, a wavelet-packet framework is presented under which the size of the model matrix may be reduced.

Original languageEnglish
Title of host publication2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781479923748
StatePublished - 21 Jul 2015
Event12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States
Duration: 16 Apr 201519 Apr 2015

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452


Conference12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Country/TerritoryUnited States


  • inverse problems
  • optoacoustic imaging
  • sparsity
  • tomography
  • wavelet packets


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