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- Title
MR Angiography at 7T to Visualize Cerebrovascular Territories.
- Authors
Neumann, Jan‐Oliver; Giese, Henrik; Nagel, Armin M.; Biller, Armin; Unterberg, Andreas; Meinzer, Hans‐Peter
- Abstract
<bold>Background: </bold>There is considerable amount of interindividual variability in the size and location of the vascular territories of the major brain arteries. More data are needed to assess the amount of variability and the possible implications for further research and patient care. Arterial spin labeling (ASL) magnetic resonance imaging has been applied in various forms to facilitate noninvasive imaging of cerebrovascular flow territories, but it requires the definition of the flow territory of interest prior to image acquisition.<bold>Objective: </bold>Assessing the vascular territories of the major brain territories by using ultra-high-field time-of-flight (TOF) magnetic resonance angiography.<bold>Methods: </bold>We have developed an alternative method to ASL by simulating cerebrovascular dye injections. Following bias field normalization and segmentation of the vessels from 7 Tesla TOF imaging, a virtual model of the arterial vessel tree was generated and a simulation of dye dispersion into the brain tissue was performed.<bold>Results: </bold>The results provided by our method are consistent with the data obtained by autoptic dye injection studies in 23 human beings by van der Zwan in 1993.<bold>Conclusion: </bold>Further technical improvements in imaging and segmentation techniques will improve the accuracy of the method and will facilitate the delineation of flow territories after image acquisition on even smaller subtrees of the cerebral vasculature.
- Subjects
BRAIN blood-vessels; ARTERIES; CEREBRAL circulation; MAGNETIC resonance angiography; MAGNETIC resonance imaging; BIOLOGICAL models; BLOOD flow measurement; BRAIN; DIAGNOSTIC imaging; FREE radicals; HEMODYNAMICS; COMPUTERS in medicine; HUMAN research subjects
- Publication
Journal of Neuroimaging, 2016, Vol 26, Issue 5, p519
- ISSN
1051-2284
- Publication type
journal article
- DOI
10.1111/jon.12348