Paper Info
Title
Probabilistic Retinal Vessel Segmentation
Abstract
Optic fundus assessment is widely used for diagnosing vascular and non-vascular pathology. Inspection of the retinal vasculature may reveal hypertension, diabetes, arteriosclerosis, cardiovascular disease and stroke. Due to various imaging conditions retinal images may be degraded. Consequently, the enhancement of such images and vessels in them is an important task with direct clinical applications. We propose a novel technique for vessel enhancement in retinal images that is capable of enhancing vessel junctions in addition to linear vessel segments. This is an extension of vessel filters we have previously developed for vessel enhancement in thoracic CT scans. The proposed approach is based on probabilistic models which can discern vessels and junctions. Evaluation shows the proposed filter is better than several known techniques and is comparable to the state of the art when evaluated on a standard dataset. A ridge-based vessel tracking process is applied on the enhanced image to demonstrate the effectiveness of the enhancement filter.
Year
DOI
Venue
2007
10.1117/12.707391
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
DocType
Volume
medical imaging,retinal images,vessel enhancement,vessel segmentation,probabilistic models
Conference
6512
ISSN
Citations 
PageRank 
0277-786X
3
0.59
References 
Authors
3
2
Name
Order
Citations
PageRank
Changhua Wu118916.89
Gady Agam239143.99