Adaptive segmentation of cerebrovascular tree in time-of-flight magnetic resonance angiography.
Accurate segmentation of the human vasculature is an important prerequisite for a number of clinical procedures, such as diagnosis, image-guided neurosurgery and pre-surgical planning. In this paper, an improved statistical approach to extracting whole cerebrovascular tree in time-of-flight magnetic...
| Published in: | Medical & Biological Engineering & Computing Vol. 46; no. 1; pp. 75 - 84 |
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| Main Authors: | , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Jan2008
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| Online Access: | View this record in EBSCOhost |