Segmentation of Cerebral Vessels and Aneurysms from MR Angiography Data
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Reconstruction of the Intracerebral Vasculature from MRA and a Pair of Projection Views
IPMI '97 Proceedings of the 15th International Conference on Information Processing in Medical Imaging
Matching 3D MR angiography data and 2D X-ray angiograms
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
3D Reconstruction from Projection Matrices in a C-Arm Based 3D-Angiography System
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
3D/2D Registration via Skeletal Near Projective Invariance in Tubular Objects
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
Intensity Ridge and Widths for Tubular Object Segmentation and Description
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Volume Rendering of Segmented Tubular Objects
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
A 3-D modeling scheme for cerebral vasculature from MRA datasets
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
Automatic vascular tree formation using the mahalanobis distance
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Vessel connectivity using Murray's hypothesis
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
Spatial graphs for intra-cranial vascular network characterization, generation, and discrimination
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Scaffolding-based segmentation of coronary vascular structures
VG'05 Proceedings of the Fourth Eurographics / IEEE VGTC conference on Volume Graphics
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This paper describes largely automated methods of creating connected, 3D vascular trees from individual vessels segmented from magnetic resonance angiograms. Vessel segmentation is initiated by user-supplied seed points, with automatic calculation of vessel skeletons as image intensity ridges and automatic estimation of vessel widths via medialness calculations. The tree-creation process employs a variant of the minimum spanning tree algorithm and evaluates image intensities at each proposed connection point. We evaluate the accuracy of nodal connections by registering a 3D vascular tree with 4 digital subtraction angiograms (DSAs) obtained from the same patient, and by asking two neuroradiologists to evaluate each nodal connection on each DSA view. No connection was judged incorrect. The approach permits new, clinically useful visualizations of the intracerebral vasculature.