We deal with image segmentation applied to three-dimensional (3D) analysis of of vascular
morphology in magnetic resonance angiography (MRA) images. The main goal of our work …

Three dimensional magnetic resonance angiographic images (3D MRA) are routinely
inspected using maximum intensity projections (MIP). However, accuracy of stenosis …

A new physically justified adaptive probabilistic model of blood vessels on magnetic
resonance angiography (MRA) images is proposed. The model accounts for both laminar …

Automatic and semi-automatic magnetic resonance angiography (MRA) segmentation
techniques can potentially save radiologists large amounts of time required for manual …

We present a method for the segmentation of vessel structures in 3D magnetic resonance
angiography (MRA) images with bloodpool contrast agent, allowing artery-vein separation …

A comprehensive analysis of vascular morphology and the application of generic models of
vascular biomechanics to specific patients require the ability of extracting a geometrical …

We present a segmentation method for vessels using an implicit deformable model with a
soft shape prior. Blood vessels are challenging structures to segment due to their branching …

Precise segmentation of three-dimensional (3D) magnetic resonance angiography (MRA)
image can be a very useful computer aided diagnosis (CAD) tool in clinical routines. Our …

Measurement of stenosis due to atherosclerosis is essential for interventional planning.
Currently, measurement of stenosis from magnetic resonance angiography (MRA) is made …

When interpreting and analyzing magnetic resonance angiography images, the 3D overall
tree structure and the thickness of the blood vessels are of interest. This shape information …