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Tzoumas, S. ; Deliolanis, N. ; Morscher, S. ; Ntziachristos, V.

Un-mixing molecular agents from absorbing tissue in multispectral optoacoustic tomography.

IEEE Trans. Med. Imaging 33, 48-60 (2014)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Detection of intrinsic or extrinsically administered chromophores and photo-absorbing nanoparticles has been achieved by Multi-Spectral Optoacoustic Tomography (MSOT). The detection sensitivity of MSOT depends not only on the signal to noise ratio considerations, as in conventional optoacoustic (photoacoustic) tomography implementations, but also on the ability to resolve the molecular targets of interest from the absorbing tissue background by means of spectral un-mixing or sub-pixel detection methods. However, it is not known which un-mixing methods are optimally suited for the characteristics of multispectral optoacoustic images. In this work we investigated the performance of different sub-pixel detection methods, typically used in remote sensing hyperspectral imaging, within the context of MSOT. A quantitative comparison of the different algorithmic approaches was carried out in an effort to identify methods that operate optimally under the particulars of MSOT applications. We find that statistical sub-pixel detection methods can demonstrate a unique detection performance with up to five times enhanced sensitivity as compared to linear un-mixing approximations, under the condition that the optical agent of interest is sparsely present within the tissue volume, as common when using targeted agents and reporter genes.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Molecular Imaging ; Multispectral Imaging ; Optoacoustic/photoacoustic Tomography ; Spectral Unmixing ; Sub-pixel Target Detection; Independent Component Analysis; Photoacoustic Tomography; In-vivo; Hyperspectral Imagery; Chromophore Concentrations; Carbon Nanotubes; Deep; Cancer; Brain; Reconstruction
ISSN (print) / ISBN 0278-0062
e-ISSN 1558-254X
Journal IEEE Transactions on Medical Imaging
Quellenangaben Volume: 33, Issue: 1, Pages: 48-60 Article Number: , Supplement: ,
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publishing Place New York, NY [u.a.]
Reviewing status Peer reviewed
Institute(s) Institute of Biological and Medical Imaging (IBMI)