Stenosis Detection Using a New Shape Space for Second Order 3D-Variations
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
Automatic Detection of Calcified Coronary Plaques in Computed Tomography Data Sets
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Particle filters, a quasi-monte carlo solution for segmentation of coronaries
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Reconstruction of blood vessels from neck CT datasets using stable 3D mass-spring models
EG VCBM'08 Proceedings of the First Eurographics conference on Visual Computing for Biomedicine
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A model-based technique for quantitative analysis of three-dimensional magnetic resonance angiography (MRA) is presented. The model consists of a deformable B-spline representation of the central vessel axis and the vessel wall. An efficient interaction mechanism to initialize the models in a three-dimensional setting is devised. Two novel image features are introduced in order to deform the central vessel axis and the vessel wall model respectively. A segmental optimization scheme for deforming the B-spline vessel wall model is introduced. Finally, the paper presents results on clinical contrast enhanced (CE) MRA of 19 carotid arteries. Percentages of stenosis obtained with our technique are compared to those of two experts using caliper measurements on Maximum Intensity Projection (MIP) CE MRA, and Digital Subtraction Angiography (DSA) as standard of reference.