Retina Layer Segmentation and Spatial Alignment of Antibody Expression Levels

Author

Vu, Nhat ; Ghosh, Pratim ; Manjunath, B.S.

Author_Institution

California Univ., Santa Barbara

Volume

2

fYear

2007

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2007. ICIP 2007. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1522-4880

Print_ISBN

978-1-4244-1437-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2007.4379182

Filename

4379182