Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram

Adaptive Ridge Point Refinement for Seeds Detection in X-Ray Coronary Angiogram

Seed point is prerequired condition for tracking based method for extracting centerline or vascular structures from the angiogram. In this paper, a novel seed point detection method for coronary artery segmentation is proposed. Vessels on the image are first enhanced according to the distribution of Hessian eigenvalue in multiscale space; consequently, centerlines of tubular vessels are also en...

Simulating X-ray Clusters with Adaptive Mesh Refinement

Gravitational instabilities naturally give rise to multi-scale structure, which is difficult for traditional Eulerian hydrodynamic methods to accurately evolve. This can be circumvented by adaptively adding resolution (in the form of multiple levels of finer meshes) to relatively small volumes as required. We describe an application of this adaptive mesh refinement (AMR) technique to cosmology,...

Extraction of Coronary Vessel Structures in Low Quality X-ray Angiogram Images

We studied an automatic model based segmentation method extracting blood vessels in poor quality coronary angiograms. This method employs circular sampling method to extract blood vessels in the angiograms and exploits the spatial coherence existing in the image. Here, a 2D pattern matching method is used because 3D model based pattern matching methods are expensive and complex processes compar...

Fully Automatic Segmentation of Coronary Vessel Structures in Poor Quality X-Ray Angiogram Images

Automatic 3D Reconstruction of Coronary Artery Centerlines from Monoplane X-ray Angiogram Images

We present a new method for the fully automatic 3D reconstruction of the coronary artery centerlines, using two X-ray angiogram projection images from a single rotating monoplane acquisition system. During the first stage, the input images are smoothed using curve evolution techniques. Next, a simple yet efficient multiscale method, based on the information of the Hessian matrix, for the enhanc...