Least squares QR-based decomposition provides an efficient way of computing optimal regularization parameter in photoacoustic tomography

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 syste...

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Bibliographic Details
Main Authors: Shaw, Calvin B., Prakash, Jaya, Pramanik, Manojit, Yalavarthy, Phaneendra K.
Other Authors: School of Chemical and Biomedical Engineering
Format: Journal Article
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/79633
http://hdl.handle.net/10220/19044