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Compressed system models in multispectral optoacoustic tomography.
In: (12th IEEE International Symposium on Biomedical Imaging, 16-19 April 2015, Brooklyn; United States). 2015. 1228-1231
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.
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Publikationstyp
Artikel: Konferenzbeitrag
Schlagwörter
Inverse Problems ; Optoacoustic Imaging ; Sparsity ; Tomography ; Wavelet Packets
ISSN (print) / ISBN
1945-7928
e-ISSN
1945-8452
Konferenztitel
12th IEEE International Symposium on Biomedical Imaging
Konferzenzdatum
16-19 April 2015
Konferenzort
Brooklyn; United States
Quellenangaben
Seiten: 1228-1231
Nichtpatentliteratur
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