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

• Main Authors: Shaw, Calvin B., Prakash, Jaya, Pramanik, Manojit, Yalavarthy, Phaneendra K.
• 其他作者: School of Chemical and Biomedical Engineering
• 格式: Article
• 語言: English
• 出版: 2014
• 主題: DRNTU::Science::Chemistry::Biochemistry
• 在線閱讀: https://hdl.handle.net/10356/79633; http://hdl.handle.net/10220/19044
• 機構: Nanyang Technological University

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...