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Related Concept Videos

Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Imaging Studies for Cardiovascular System IV: CMRI01:21

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Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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Imaging Studies for Cardiovascular System V: CT01:28

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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White Matter Hyperintensities on Admission CT Are Associated with Worse Outcomes but not Cerebral Edema or Hemorrhagic Transformation after Large Vessel Occlusion Stroke.

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Quantified Brain Atrophy and Risk of Severe Mass Effect in Acute Ischemic Stroke.

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Genomics and multi-omics to accelerate stroke research and discovery.

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Autoregulation-Guided Blood Pressure Targets After Stroke Thrombectomy: Impact on Secondary Brain Injury and Neurologic Outcomes.

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EXPRESS: Ventricular CSF-to-blood water transport kinetics in adult hydrocephalus.

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EXPRESS: Intercellular Mitochondrial Transfer in Ischemic Stroke: Emerging Roles of Microglia.

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EXPRESS: Mechanical Compaction Alters Microstructural and Magnetic Resonance Imaging Properties of Acute Ischemic Stroke Clots.

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Updated: Apr 13, 2026

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
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Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

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Imaging and genomics in stroke.

Rajat Dhar1

  • 1Section of Neurocritical Care, Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.

Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism
|April 11, 2026
PubMed
Summary
This summary is machine-generated.

Advanced imaging and artificial intelligence are identifying new biomarkers for stroke injury and recovery. These biomarkers, combined with genetic data, can help uncover causes and potential drug targets for stroke.

Keywords:
Acute strokebrain edemacomputed tomography imaginggeneticsgenomicsmagnetic resonance imaging

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Area of Science:

  • Neuroimaging
  • Genomics
  • Artificial Intelligence in Medicine

Background:

  • Stroke injury and recovery phenotypes lack targeted therapies.
  • Clinical measures are insufficient for understanding stroke mechanisms.
  • Imaging biomarkers offer quantifiable and heritable insights into stroke.

Purpose of the Study:

  • To leverage advanced imaging and artificial intelligence for stroke research.
  • To integrate imaging biomarkers with omics data for mechanistic insights.
  • To identify genetic and biologic factors influencing stroke outcomes.

Main Methods:

  • Extraction of imaging biomarkers from large stroke cohorts using AI.
  • Pairing imaging data with genomic and other omics data.
  • Utilizing bioinformatics tools like Mendelian randomization for causal inference.

Main Results:

  • AI enables extraction of quantifiable imaging biomarkers.
  • Integration with omics data allows evaluation of genetic influences on stroke.
  • Bioinformatics tools help dissect stroke complication overlaps and causal links.

Conclusions:

  • Imaging endophenotypes and AI hold promise for elucidating stroke mechanisms.
  • Further research is needed to confirm translational impact and identify drug targets.
  • Global collaborations and data repositories are accelerating stroke research.