Brain Vessel Extraction
Brain Vessel Extraction - Related Videos
07:32
Purification of Mouse Brain Vessels
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Cited by 90 •
2015
We describe a protocol allowing the purification of the mouse brain's vascular compartment. Isolated brain vessels include endothelial cells linked by tight junctions and surrounded by a continuous basal lamina, pericytes, vascular smooth muscle cells, as well as perivascular astroglial membranes.
04:20
Isolating Mouse Brain Vessels: A Protocol to Isolate Intact Vessels from Murine Brain Sample
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2025
This video demonstrates the isolation of intact vessels from a mouse's brain that constitute the blood-brain barrier (BBB) along with neurons and glial cells. The isolated vessels can be used as an in vitro model to study their role in maintaining brain homeostasis.
09:29
2-Vessel Occlusion/Hypotension: A Rat Model of Global Brain Ischemia
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Cited by 35 •
2013
Bilateral carotid occlusion coupled with systemic hypotension produces global brain ischemia in the rat, resulting in damage to the hippocampus with reproducible severity. Animal subjects are impaired with predictable patterns of brain damage, they recover expediently, and mortality rates are comparatively low.
01:23
Magnetic Resonance Imaging of Perivascular Spaces in the Human Brain During a Small Vessel Stroke
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2025
Perivascular spaces (PVS) are fluid-filled spaces around the brain blood vessels involved in fluid drainage.To examine alterations in PVS during a small vessel stroke, perform magnetic resonance imaging (MRI) of the basal ganglia region in the patient’s brain.The imaging protocol includes the T2-weighted fast spin echo and fluid-attenuated inversion recovery (FLAIR) sequences.T2-weighted imaging enhances the contrast between cerebrospinal fluid (CSF)-filled PVS and surrounding tissue.FLAIR...
04:38
Isolation of Amyloid Fibrils from Brain Tissue Extract
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2025
This video demonstrates the protocol for isolating amyloid fibrils from mouse brain tissue extract using density gradient centrifugation and digestion of non-amyloid proteins.
FAQs
Algorithms identify vessel-related regions by combining intensity, contrast, and shape patterns rather than relying on a single visual cue. These features help distinguish vascular structures from surrounding brain tissue in medical images. The resulting segmentation isolates connected vessels, creating a representation that can be reconstructed into a vessel map or three-dimensional model for subsequent analysis.
After candidate vessel regions are identified, connectivity links neighboring segments into continuous vascular structures. This matters because cerebral vessels form branching networks, and a connected representation preserves how branches relate to one another. The reconstructed network can therefore support assessment of vessel diameter, branching patterns, and spatial relationships rather than only isolated image regions.
Three-dimensional reconstruction represents vascular anatomy as a spatial model rather than as separate image patterns. It can show how vessels course and branch in relation to surrounding anatomy, which is relevant when evaluating stenosis or aneurysms and when planning surgical or endovascular procedures. This spatial representation also supports quantitative study of vascular organization.
A typical workflow starts with medical images from magnetic resonance angiography, computed tomography angiography, or digital subtraction angiography. Image-processing algorithms then identify vessel-related intensity, contrast, or shape patterns and segment connected vascular structures from surrounding brain tissue. Finally, the extracted structures are organized as a vessel map or reconstructed three-dimensional model.
The resulting vessel representation can support measurements of vessel diameter, branching, and spatial relationships. These quantitative features help describe vascular anatomy and provide structured information for research or clinical assessment. By converting image-based anatomy into measurable characteristics, the approach supports comparisons of vessel structure and examination of abnormalities such as stenosis or aneurysms.
In medicine, extracted vessel models support assessment of vessel anatomy, stenosis, aneurysms, and other cerebrovascular abnormalities. They can also assist surgical and endovascular planning and treatment guidance by presenting vascular structures in a usable spatial form. In research, the same representations enable quantitative analysis of vessel diameter, branching, and relationships among cerebral vessels.