A centerline-based estimator of vessel bifurcations in angiography images

Maysa M. G. Macedo; Miguel A. Galarreta-Valverde; Choukri Mekkaoui; Marcel P. Jackowski

doi:10.1117/12.2007812

18 March 2013 A centerline-based estimator of vessel bifurcations in angiography images

Maysa M. G. Macedo, Miguel A. Galarreta-Valverde, Choukri Mekkaoui, Marcel P. Jackowski

Author Affiliations +

Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 86703K (2013) https://doi.org/10.1117/12.2007812
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

Maysa M. G. Macedo, Miguel A. Galarreta-Valverde, Choukri Mekkaoui, and Marcel P. Jackowski "A centerline-based estimator of vessel bifurcations in angiography images", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86703K (18 March 2013); https://doi.org/10.1117/12.2007812

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE