Abstract

We develop an improved region growing method to realize automatic retinal pigment epithelium (RPE) cell segmentation for photoacoustic microscopy (PAM) imaging. The minimum bounding rectangle of the segmented region is used in this method to dynamically update the growing threshold for optimal segmentation. Phantom images and PAM imaging results of normal porcine RPE are applied to demonstrate the effectiveness of the segmentation. The method realizes accurate segmentation of RPE cells and also provides the basis for quantitative analysis of cell features such as cell area and component content, which can have potential applications in studying RPE cell functions for PAM imaging.

© 2017 Chinese Laser Press

Automated segmentation of retinal pigment epithelium cells in fluorescence adaptive optics images

Piero Rangel-Fonseca, Armando Gómez-Vieyra, Daniel Malacara-Hernández, Mario C. Wilson, David R. Williams, and Ethan A. Rossi
J. Opt. Soc. Am. A 30(12) 2595-2604 (2013)

Quantifying melanin concentration in retinal pigment epithelium using broadband photoacoustic microscopy

Xiao Shu, Hao Li, Biqin Dong, Cheng Sun, and Hao F. Zhang
Biomed. Opt. Express 8(6) 2851-2865 (2017)

Fast subcellular optical coherence photoacoustic microscopy for pigment cell imaging

Lin Li, Cuixia Dai, Qian Li, Qingliang Zhao, Xiaoyun Jiang, Xinyu Chai, and Chuanqing Zhou
Opt. Lett. 40(19) 4448-4451 (2015)

Semi-automated discrimination of retinal pigmented epithelial cells in two-photon fluorescence images of mouse retinas

Nathan S. Alexander, Grazyna Palczewska, and Krzysztof Palczewski
Biomed. Opt. Express 6(8) 3032-3052 (2015)

Retinal pigment epithelium segmentation by polarization sensitive optical coherence tomography

Erich Götzinger, Michael Pircher, Wolfgang Geitzenauer, Christian Ahlers, Bernhard Baumann, Stephan Michels, Ursula Schmidt-Erfurth, and Christoph K. Hitzenberger
Opt. Express 16(21) 16410-16422 (2008)