Please use this identifier to cite or link to this item:
|Title:||Least squares QR-based decomposition provides an efficient way of computing optimal regularization parameter in photoacoustic tomography||Authors:||Shaw, Calvin B.
Yalavarthy, Phaneendra K.
|Keywords:||DRNTU::Science::Chemistry::Biochemistry||Issue Date:||2013||Source:||Shaw, C. B., Prakash, J., Pramanik, M., & Yalavarthy, P. K. (2013). Least squares QR-based decomposition provides an efficient way of computing optimal regularization parameter in photoacoustic tomography. Journal of Biomedical Optics, 18(8), 080501-.||Series/Report no.:||Journal of biomedical optics||Abstract:||A computationally efficient approach that computes the optimal regularization parameter for the Tikhonov-minimization scheme is developed for photoacoustic imaging. This approach is based on the least squares-QR decomposition which is a well-known dimensionality reduction technique for a large system of equations. It is shown that the proposed framework is effective in terms of quantitative and qualitative reconstructions of initial pressure distribution enabled via finding an optimal regularization parameter. The computational efficiency and performance of the proposed method are shown using a test case of numerical blood vessel phantom, where the initial pressure is exactly known for quantitative comparison.||URI:||https://hdl.handle.net/10356/79633
|DOI:||10.1117/1.JBO.18.8.080501||Rights:||© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE). This paper was published in Journal of Biomedical Optics and is made available as an electronic reprint (preprint) with permission of Society of Photo-Optical Instrumentation Engineers (SPIE). The paper can be found at the following official DOI: [http://dx.doi.org/10.1117/1.JBO.18.8.080501]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCBE Journal Articles|
Files in This Item:
|Least squares QR-based decomposition provides an efficient way of computing optimal regularization parameter in photoacoustic tomography.pdf||1.62 MB||Adobe PDF|
Updated on Mar 5, 2021
Updated on Mar 7, 2021
Page view(s) 20494
Updated on Sep 17, 2021
Updated on Sep 17, 2021
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.