Summary: DESIGN AND STUDY OF FLUX-BASED FEATURES FOR 3D VASCULAR TRACKING
, Elsa D. Angelini
, Isabelle Bloch
and Gareth Funka-Lea
Siemens Corporate Research, Imaging and Visualization dept., Princeton NJ, USA.
Institut T´el´ecom, T´el´ecom ParisTech, CNRS LTCI, Paris, France.
In this paper, we present and study two local features for the track-
ing 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 dis-
criminative response landscape, which is a desirable property for