Title :
Design and study of flux-based features for 3D vascular tracking
Author :
Lesage, David ; Angelini, Elsa D. ; Bloch, Isabelle ; Funka-Lea, Gareth
Author_Institution :
Imaging & Visualization Dept., Siemens Corp. Res., Princeton, NJ, USA
fDate :
June 28 2009-July 1 2009
Abstract :
In this paper, we present and study two local features for the tracking of vascular structures on 3D angiograms. The first one, Flux, measures the inward gradient flux through circular cross-sections. The second one, MFlux, introduces a non-linear penalization of asymmetric flux contributions to reduce false positive responses. Through a series of experiments on synthetic and real cardiac CT data, we discuss the properties of these features with respect to their parameters. We compare them to a selection of published vessel- dedicated features. We show that MFlux induces a particularly discriminative response landscape, which is a desirable property for tracking purposes on such large search spaces. A key characteristic of the proposed features is their simplicity of implementation and their high computational efficiency, enabling their practical use for advanced tracking strategies.
Keywords :
angiocardiography; blood vessels; computerised tomography; feature extraction; medical image processing; 3D angiograms; 3D vascular tracking; asymmetric flux contributions; cardiac CT data; circular cross-sections; computational efficiency; flux-based features; inward gradient flux; nonlinear penalization; vascular structures; vessel tracking; Computational efficiency; Computed tomography; Image generation; Image segmentation; Parametric statistics; Robustness; Shape; Solid modeling; Vectors; Visualization; Vascular features; gradient flux; vessel tracking;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193040