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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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Related Experiment Video

Updated: Oct 23, 2025

A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage
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Intracranial vessel wall imaging framework - Data acquisition, processing, and visualization.

Konstanze Guggenberger1, Axel J Krafft2, Ute Ludwig2

  • 1Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.

Magnetic Resonance Imaging
|August 17, 2021
PubMed
Summary
This summary is machine-generated.

A new framework for intracranial vessel wall imaging (VWI) uses compressed sensing MRI to visualize complex arteries. This optimized MRI technique allows for faster, high-resolution imaging, aiding in the diagnosis of conditions like vasculitis.

Keywords:
AtherosclerosisCPRCompressed sensingGUIMRIVasculitisVessel wall imagingVisualization

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Area of Science:

  • Medical Imaging
  • Radiology
  • Cardiovascular Imaging

Background:

  • Vessel wall imaging (VWI) is crucial for diagnosing and monitoring vascular diseases like vasculitis.
  • Intracranial VWI using Magnetic Resonance Imaging (MRI) presents challenges due to tortuous anatomy and the need for high resolution within clinical time constraints.

Purpose of the Study:

  • To present a dedicated framework for intracranial VWI.
  • To enable optimized visualization of tortuous intracranial arteries for improved disease assessment.

Main Methods:

  • Development of an optimized, black-blood 3D T1-weighted post-contrast Compressed Sensing (CS)-accelerated MRI sequence.
  • Integration with a 3D-GUI supported post-processing tool for Curved Planar Reformatting (CPR) visualization.

Main Results:

  • CS-accelerated MRI reduced scanning time for high-resolution 3D black-blood CS-space data to under 10 minutes.
  • The framework successfully generated CPR visualizations from acquired patient data in a clinical setting.
  • Processing time (acquisition + post-processing) is approximately 15-20 minutes per patient.

Conclusions:

  • A versatile framework for VWI visualization was demonstrated using CPR from 3D black-blood CS-SPACE data.
  • This facilitates simplified and optimized assessment of intracranial arteries, particularly in suspected intracranial vasculitis.
  • The framework's efficiency allows for integration into routine clinical practice.