TY - GEN
T1 - A fast regularized least squares method for retinal vascular oxygen tension estimation
AU - Gunay, Gokhan
AU - Yildirim, Isa
PY - 2013
Y1 - 2013
N2 - Regularization of least squares estimation method was proposed earlier in order to improve estimation of oxygen tension in retinal vessels and it was shown to be very effective. Optimum points for cost function of the regularized least squares (RLS) estimation were found using iterative methods which do not require considerable computations for small oxygen tension (pO2) maps. However, as pO2 maps get larger, iterative solutions become computationally expensive. In this study, to find optimum points of the RLS cost functions of larger pO2 images, we propose an accelerated solution derived from closed form solution of the RLS cost function.
AB - Regularization of least squares estimation method was proposed earlier in order to improve estimation of oxygen tension in retinal vessels and it was shown to be very effective. Optimum points for cost function of the regularized least squares (RLS) estimation were found using iterative methods which do not require considerable computations for small oxygen tension (pO2) maps. However, as pO2 maps get larger, iterative solutions become computationally expensive. In this study, to find optimum points of the RLS cost functions of larger pO2 images, we propose an accelerated solution derived from closed form solution of the RLS cost function.
KW - Accelerated closed form solution
KW - Regularized least squares estimation
KW - Retinal oxygen tension estimation
UR - http://www.scopus.com/inward/record.url?scp=84887939677&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84887939677
SN - 9789881925299
T3 - Lecture Notes in Engineering and Computer Science
SP - 2244
EP - 2248
BT - Proceedings of the World Congress on Engineering 2013, WCE 2013
T2 - 2013 World Congress on Engineering, WCE 2013
Y2 - 3 July 2013 through 5 July 2013
ER -