Measurement of retinal vessel widths from fundus images based on 2-D modeling

Changes in retinal vessel diameter are an important sign of diseases such as hypertension, arteriosclerosis and diabetes mellitus. Obtaining precise measurements of vascular widths is a critical and demanding process in automated retinal image analysis as the typical vessel is only a few pixels wide...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 2004-10, Vol.23 (10), p.1196-1204
Main Authors: Lowell, J., Hunter, A., Steel, D., Basu, A., Ryder, R., Kennedy, R.L.
Format: Article
Language:English
Subjects:
Algorithms
Anatomy, Cross-Sectional - methods
Arteriosclerosis
Artificial Intelligence
Biomedical imaging
Computer Simulation
Diabetes
Diseases
Fluorescein Angiography - methods
Humans
Hypertension
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image segmentation
Information Storage and Retrieval - methods
Models, Biological
Models, Statistical
Numerical Analysis, Computer-Assisted
Pattern Recognition, Automated - methods
Reproducibility of Results
Retina
Retinal vessels
Retinal Vessels - anatomy & histology
Retinopathy
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Steel
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Summary:Changes in retinal vessel diameter are an important sign of diseases such as hypertension, arteriosclerosis and diabetes mellitus. Obtaining precise measurements of vascular widths is a critical and demanding process in automated retinal image analysis as the typical vessel is only a few pixels wide. This paper presents an algorithm to measure the vessel diameter to subpixel accuracy. The diameter measurement is based on a two-dimensional difference of Gaussian model, which is optimized to fit a two-dimensional intensity vessel segment. The performance of the method is evaluated against Brinchmann-Hansen's half height, Gregson's rectangular profile and Zhou's Gaussian model. Results from 100 sample profiles show that the presented algorithm is over 30% more precise than the compared techniques and is accurate to a third of a pixel.
ISSN:0278-0062
1558-254X
DOI:10.1109/TMI.2004.830524