Title :
Retina Layer Segmentation and Spatial Alignment of Antibody Expression Levels
Author :
Vu, Nhat ; Ghosh, Pratim ; Manjunath, B.S.
Author_Institution :
California Univ., Santa Barbara
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
The expression levels of rod opsin and glial fibrillary acidic protein (GFAP) capture important structural changes in the retina during injury and recovery. Quantitatively measuring these expression levels in confocal micrographs requires identifying the retinal layer boundaries and spatially corresponding the layers across different images. In this paper, a method to segment the retinal layers using a parametric active contour model is presented. Then spatially aligned expression levels across different images are determined by thresholding the solution to a Dirichlet boundary value problem. Our analysis provides quantitative metrics of retinal restructuring that are needed for improving retinal therapies after injury.
Keywords :
eye; image segmentation; medical image processing; patient treatment; proteins; Dirichlet boundary value problem; antibody expression levels; confocal micrographs; glial fibrillary acidic protein; parametric active contour model; retina layer segmentation; retinal layer boundaries; retinal layer segmentation; retinal restructuring quantitative metrics; retinal therapies; rod opsin; spatial alignment; spatially aligned expression levels; Active contours; Boundary value problems; Image converters; Image segmentation; Informatics; Injuries; Labeling; Medical treatment; Protein engineering; Retina; Active contours; layer segmentation;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379182
