Vessel segmentation plays an important role in medical image analysis. Irrespective of the modality used, the common challenge in all vessel tracking methods is scale variability, in other words, the dependence on the size of the vessels, which is unknown a priori. Despite few approaches that attempts to perform scale selection and segmentation simultaneously, the common approach is to perform ...

Abstract Funding Acknowledgements Type of funding sources: None. Background Vessel-to-background contrast (VBC), the ratio signal intensities (SI) within a vessel segment compared to surrounding tissue, is an essential objective parameter for assessing image quality in contrast-enhanced MR angiography (CE-MRA) peripheral arteries. (1–3) Manual evaluation by measurement SIs and area labour-inten...

Vessel cross-sectional diameter is an important feature for analyzing retinal vascular changes. In automated retinal image analysis, the measurement of vascular width is a complex process as most of the vessels are few pixels wide or suffering from lack of contrast. In this paper, we propose a new method to measure the retinal blood vessel diameter which can be used to detect arteriolar narrowi...

A Bayesian method with spatial constraint is proposed for vessel segmentation in retinal images. The proposed model makes the assumption that the posterior probability of each pixel is dependent on posterior probabilities of their neighboring pixels. An energy function is defined for the proposed model. By applying the modified level set approach to minimize the proposed energy function, we can...

AIM To evaluate the clinical feasibility of a newly developed, fully automatic vessel segmentation software with automatic structured bone elimination (ASBE) using graph-matching and subvoxel analysis. MATERIALS AND METHODS Dual energy computed tomography angiography (DECTA) data of 108 vessel segments were evaluated using the ASBE software and a commercial software against the digital subtra...

Accurate optic disc (OD) segmentation is an important step in obtaining cup-to-disc ratio-based glaucoma screening using fundus imaging. It is a challenging task because of the subtle OD boundary, blood vessel occlusion and intensity inhomogeneity. In this Letter, the authors propose an improved version of the random walk algorithm for OD segmentation to tackle such challenges. The algorithm in...

This paper presents an automatic application that provides several retinal image analysis functionalities, namely vessel segmentation, vessel width estimation, artery/vein classification and optic disc segmentation. A pipeline of these methods allows the computation of important vessel related indexes, namely the Central Retinal Arteriolar Equivalent (CRAE), Central Retinal Venular Equivalent (...

The accurate identification of the appearance of blood vessels in ocular fundus plays an important role in medical diagnosis of many diseases. The automated segmentation is helpful for eye care specialists to screen larger populations In contrast to the existing methods for computer aided diagnosis which, we propose a novel scheme which combines multiscale analysis and adaptive thresholding for...