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Proceedings Paper

A centerline-based estimator of vessel bifurcations in angiography images
Author(s): Maysa M. G. Macedo; Miguel A. Galarreta-Valverde; Choukri Mekkaoui; Marcel P. Jackowski
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Paper Abstract

The analysis of vascular structure based on vessel diameters, density and distance between bifurcations is an important step towards the diagnosis of vascular anomalies. Moreover, vascular network extraction allows the study of angiogenesis. This work describes a technique that detects bifurcations in vascular networks in magnetic resonance angiography and computed tomography angiography images. Initially, a vessel tracking technique that uses the Hough transform and a matrix composed of second order partial derivatives of image intensity is used to estimate the scale and vessel direction, respectively. This semi-automatic technique is capable of connecting isolated tracked vessel segments and extracting a full tree from a vascular network with minimal user intervention. Vessel shape descriptors such as curvature are then used to identify bifurcations during tracking and to estimate the next branch direction. We have initially applied this technique on synthetic datasets and then on real images.

Paper Details

Date Published: 18 March 2013
PDF: 7 pages
Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86703K (18 March 2013); doi: 10.1117/12.2007812
Show Author Affiliations
Maysa M. G. Macedo, Univ. de São Paulo (Brazil)
Miguel A. Galarreta-Valverde, Univ. de São Paulo (Brazil)
Choukri Mekkaoui, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Marcel P. Jackowski, Univ. de São Paulo (Brazil)

Published in SPIE Proceedings Vol. 8670:
Medical Imaging 2013: Computer-Aided Diagnosis
Carol L. Novak; Stephen Aylward, Editor(s)

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