Title :
Image-level tortuosity estimation in wide-field retinal images from infants with Retinopathy of Prematurity
Author :
Poletti, Enea ; Grisan, E. ; Ruggeri, Alfredo
Author_Institution :
Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
Tortuosity and dilation of retinal vessels are considered of primary importance for the diagnosis and follow-up of the Retinopathy of Prematurity (ROP) disease. We developed an algorithm to estimate vessel tortuosity in images acquired with a wide-field fundus camera in ROP subjects, offering clinicians a quantitative, objective, and reproducible diagnostic parameter.
Keywords :
biomedical optical imaging; blood vessels; correlation methods; data acquisition; diseases; estimation theory; eye; image segmentation; medical image processing; Spearman correlation coefficient; caliber information; clinical graders; error-free input data; image acquisition; image segmentation; image-level tortuosity estimation; infants; objective diagnostic parameter; quantitative diagnostic parameter; reproducible diagnostic parameter; retinal imaging experts; retinal vessel dilation; retinal vessel tortuosity; retinopathy-of-prematurity disease diagnosis; retinopathy-of-prematurity disease follow-up; vessel-level measurement; wide-field fundus camera; wide-field retinal images; Biomedical imaging; Correlation; Diseases; Manuals; Retina; Retinopathy; USA Councils; Algorithms; Dilatation, Pathologic; Female; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Infant; Infant, Newborn; Male; Pattern Recognition, Automated; Reproducibility of Results; Retina; Retinopathy of Prematurity; Retinoscopy; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6347105
