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.
Original language | English |
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Pages (from-to) | 950-957 |
Number of pages | 8 |
Journal | Journal of Magnetic Resonance Imaging |
Volume | 7 |
Issue number | 6 |
DOIs | |
Publication status | Published - Nov 1997 |
Keywords
- Flow visualization
- Image segmentation
- MR angiography
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
- Radiological and Ultrasound Technology