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1851views
15 years 6 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
MVA
2007
203views Computer Vision» more  MVA 2007»
13 years 6 months ago
Automatic Detection of Anatomical Structures in Digital Fundus Retinal Images
This paper proposes a novel system for the automatic detection of important anatomical structures such as the Optic Disc (OD), Blood Vessels and Macula in digital fundus retinal i...
Anantha Vidya Sagar, S. Balasubramanian, V. Chandr...
ISCAS
2003
IEEE
345views Hardware» more  ISCAS 2003»
13 years 10 months ago
An efficient blood vessel detection algorithm for retinal images using local entropy thresholding
This paper presents an efficient method for automatic detection and extraction of blood vessels in retinal images. Specifically, we also delineate vascular intersections/crossov...
Thitiporn Chanwimaluang, Guoliang Fan
ISBI
2008
IEEE
14 years 5 months ago
Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filterin...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
VISSYM
2004
13 years 6 months ago
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 metho...
Alexandra La Cruz