title: Multiresolution, model-based segmentation of MR angiograms.
abstract: During the last decade, the quality of MR angiograms has risen substantially and their clinical utility has been demonstrated progressively. This acceptance has created a need for tools with which to summarize and display the information available. We have used a model-based segmentation technique to extract vascular morphology and local flow parameters from phase contrast MR angiograms. A multiresolution data structure is used as the basis of recursive decision-making to identify regions of blood flow. The resulting data representation allows more efficient data handling in subsequent processing and visualization and is directly applicable to the creation of a connected graph model of vascular regions. We describe this flow feature extraction algorithm and demonstrate the utility of the results.
authors.affiliation: Division of Radiological Sciences, United Medical and Dental Schools, Guy's and St. Thomas' Hospital Trust, London, England. p.summers@umds.ac.uk
authors.forename: P E
authors.initials: PE
authors.lastname: Summers
authors.forename: A H
authors.initials: AH
authors.lastname: Bhalerao
authors.forename: D J
authors.initials: DJ
authors.lastname: Hawkes
mesh_terms: D006801:Humans; D018810:Magnetic Resonance Angiography; D008961:Models, Structural