Neuroimaging of Cerebrovascular Diseases
A special issue of Cells (ISSN 2073-4409).
Deadline for manuscript submissions: 30 March 2026 | Viewed by 9
Special Issue Editor
Special Issue Information
Dear Colleagues,
Cerebrovascular diseases encompass a broad spectrum of conditions affecting the cerebral vasculature, frequently resulting in brain tissue injury due to disturbances in intracranial blood flow. These disorders primarily include ischemic stroke, intracerebral hemorrhage, transient ischemic attack, subarachnoid hemorrhage, and related pathologies. Epidemiological evidence demonstrates that cerebrovascular diseases are associated with high morbidity, mortality, and recurrence rates globally. Stroke represents the third leading cause of mortality and remains the principal contributor to severe long-term disability in the United States. Furthermore, these conditions impose a substantial economic burden worldwide. Neuroimaging plays a crucial role in the diagnosis and prognosis of cerebrovascular diseases. Imaging techniques such as MRI and CT have significantly advanced the diagnosis of cerebrovascular diseases by providing high-resolution images of cerebral structures and vasculature. Advanced imaging techniques such as Diffusion Weighted Imaging (DWI), Diffusion Tensor Imaging (DTI), Perfusion Weighted Imaging (PWI), Arterial Spin Labeling (ASL), Susceptibility Weighted Imaging (SWI), vessel wall imaging, and Positron Emission Tomography (PET) enable detailed assessment of cerebral structure and function. Functional MRI (fMRI) and positron Emission Tomography (PET) can also provide insights into the metabolic and functional status of brain regions affected by vascular disease. Artificial intelligence (AI) and machine learning are being integrated into imaging analysis, enhancing the speed and accuracy of diagnosis. This Topical Collection aims to provide an overview of recent advances in the neuroimaging of cerebrovascular diseases. Topics of interest encompass, but are not limited to, the following areas:
- Fundamental research on neuroimaging biomarkers and the development of imaging technologies aimed at enhancing diagnosis and outcome prediction for various cerebrovascular diseases.
- Clinical studies utilizing advanced imaging modalities—such as DWI, DTI, PWI, ASL, SWI, fMRI, vessel wall imaging, CT, PET, and digital subtraction angiography (DSA)—to improve the diagnosis and prognosis of cerebrovascular conditions.
- Artificial intelligence (AI) and machine learning in the neuroimaging of cerebrovascular disease, including multimodal approaches and deep learning-based approaches.
This collection solicits original research articles, review articles, and communications focusing on neuroimaging of cerebrovascular diseases. We look forward to your contributions.
Dr. Dragan Stojanov
Guest Editor
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Keywords
- neuroimaging
- cerebrovascular diseases
- stroke
- intracerebral hemorrhage
- SAHA neurysms
- AVM
- small vessels diseases
- CT
- MRI
- advance MRI techniques
- DSA
- AI
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