Compressed system models in multispectral optoacoustic tomography
Ntziachristos V, Rosenthal A (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: IEEE Computer Society
Book Volume: 2015-July
Pages Range: 1228-1231
Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging
Event location: Brooklyn, NY, USA
ISBN: 9781479923748
DOI: 10.1109/ISBI.2015.7164095
Abstract
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.
Involved external institutions
Germany (DE)How to cite
APA:
Ntziachristos, V., & Rosenthal, A. (2015). Compressed system models in multispectral optoacoustic tomography. In Proceedings - International Symposium on Biomedical Imaging (pp. 1228-1231). Brooklyn, NY, USA: IEEE Computer Society.
MLA:
Ntziachristos, Vasilis, and Amir Rosenthal. "Compressed system models in multispectral optoacoustic tomography." Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, NY, USA IEEE Computer Society, 2015. 1228-1231.
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