Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters

Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering

We propose a machine learning-based framework using oblique random forests for 3-D vessel segmentation. Two different kinds of features are compared. One is based on orthogonal subspace filtering where we learn 3-D eigenspace filters from local image patches that return task optimal feature responses. The other uses a specific set of steerable filters that show, qualitatively, similarities to t...

Extracting Vessel Centerlines From Retinal Images Using Topographical Properties and Directional Filters

In this paper we consider the problem of blood vessel segmentation in retinal images. After enhancing the retinal image we use green channel of images for segmentation as it provides better discrimination between vessels and background. We consider the negative of retinal green channel image as a topographical surface and extract ridge points on this surface. The points with this property are l...

Oblique Random Forests for 3-D Vessel Detection Using Steerable Filters and Orthogonal Subspace Filtering - Supplementary Material

Accuracy Evaluation of Different Centerline Approximations of Blood Vessels

Accurate determination of the vessel axis is a prerequisite for automated visualization and quantification of artery diseases. This paper presents an evaluation of different methods for approximating the centerline of the vessel in a phantom simulating the peripheral arteries. Six algorithms were used to determine the centerline of a synthetic peripheral arterial vessel. They are based on: ray ...

Artery Vein Classification of Blood Vessels in Retinal Image: an Automated Approach

Artery/Vein (A/V) of retinal vessel is helpful for the automating the detection of various diseases such as Diabetic Retinography, high blood pressure, pancreas, and other vascular conditions. An automated approach is presented in this paper for classification of blood vessels into Artery/Vein based on the features extracted from the centerline pixels. The proposed method consists of 4 importan...