Title :
Regularized Estimation of Retinal Vascular Oxygen Tension From Phosphorescence Images
Author :
Yildirim, Isa ; Ansari, Rashid ; Wanek, Justin ; Yetik, Imam Samil ; Shahidi, Mahnaz
Abstract :
The level of retinal oxygenation is potentially an important cue to the onset or presence of some common retinal diseases. An improved method for assessing oxygen tension in retinal blood vessels from phosphorescence lifetime imaging data is reported in this paper. The optimum estimate for phosphorescence lifetime and oxygen tension is obtained by regularizing the least-squares (LS) method. The estimation method is implemented with an iterative algorithm to minimize a regularized LS cost function. The effectiveness of the proposed method is demonstrated by applying it to simulated data as well as image data acquired from rat retinas. The method is shown to yield estimates that are robust to noise and whose variance is lower than that obtained with the classical LS method.
Keywords :
biomedical optical imaging; blood vessels; diseases; eye; iterative methods; least squares approximations; oximetry; phosphorescence; iterative algorithm; least-squares method; phosphorescence image; phosphorescence lifetime imaging data; retinal blood vessel; retinal disease; retinal oxygenation level; retinal vascular oxygen tension estimation; Biomedical imaging; Blood vessels; Cost function; Diseases; Iterative algorithms; Life estimation; Lifetime estimation; Oxygen; Phosphorescence; Retina; Phosphorescence lifetime imaging; regularized least squares (RLSs); retinal oxygen tension analysis; Algorithms; Animals; Blood Pressure; Luminescent Measurements; Male; Multivariate Analysis; Normal Distribution; Oxygen; Partial Pressure; Rats; Rats, Long-Evans; Retina; Retinal Vessels;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2009.2020505