Title :
Retinal vessel width measurements based on a graph-theoretic method
Author :
Xu, X. ; Niemeijer, M. ; Song, Q. ; Garvin, M.K. ; Reinhardt, J.M. ; Abràmoff, M.D.
Author_Institution :
Dept. of Biomed. Eng., Univ. of Iowa, Iowa City, IA, USA
fDate :
March 30 2011-April 2 2011
Abstract :
A reliable and accurate method to measure the width of retinal blood vessel in fundus photography is proposed in this paper. Our approach is based on a graph-theoretic algorithm. The two boundaries of the same blood vessel are segmented simultaneously by converting the two-boundary segmentation problem into a two-slice, three-dimension surface segmentation problem, which is further converted into the problem of computing a minimum closed set in a node-weighted graph. An initial segmentation is generated from a vessel probability image. Two datasets from the REVIEW database were used to assess the performance of proposed method. This algorithm is robust and is able to produce accurate measurements.
Keywords :
biomedical optical imaging; blood vessels; eye; graph theory; image segmentation; medical image processing; photography; spatial variables measurement; REVIEW database; blood vessel boundary segmentation; fundus photography; graph theoretic method; minimum closed set; node weighted graph; retinal vessel width measurement; two boundary segmentation problem; two slice 3D surface segmentation problem; vessel probability image; Biomedical imaging; Blood vessels; Image segmentation; Observers; Pixel; Retinal vessels; graph-based segmentation; retinal photography; vessel width measurement;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4127-3
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2011.5872488