In this paper, we use a level set based segmentation algorithm to extract the vascular tree from Magnetic Resonance Angiography, "MRA". Classification model finds an opt...
Abstract. Automatic and semi-automatic magnetic resonance angiography (MRA) segmentation techniques can potentially save radiologists large amounts of time required for manual segm...
Liana M. Lorigo, Olivier D. Faugeras, W. Eric L. G...
Abstract. This paper presents a new and integrated approach to automatic 3D brain vessel segmentation using physics-based statistical models of background and vascular signals, and...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
Abstract. Precise segmentation of three-dimensional (3D) magnetic resonance angiography (MRA) image can be a very useful computer aided diagnosis (CAD) tool in clinical routines. O...
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...