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Updated: Feb 7, 2026

Quantifying Mixing using Magnetic Resonance Imaging
Published on: January 25, 2012
Whole-body magnetic resonance angiography
J R Weir-McCall1, M Bonnici-Mallia1, P G Ramkumar1
1Clinical Radiology, Ninewells Hospital and Medical School, Dundee, UK.
Vascular diseases are systemic, affecting the whole body. New MRI techniques allow a comprehensive assessment of the entire arterial tree, improving understanding of overall vascular health.
Area of Science:
- Cardiovascular Imaging
- Vascular Medicine
- Radiology
Background:
- Vascular diseases, including atherosclerosis and vasculitides, are systemic, meaning disease in one area predicts it in others.
- Current diagnostic methods often focus on single affected areas, potentially underestimating the overall disease burden.
- This limited scope overlooks the systemic nature of vascular pathology.
Purpose of the Study:
- To review the utility of advanced Magnetic Resonance Imaging (MRI) for comprehensive arterial tree assessment.
- To discuss the acquisition techniques, reporting standards, and clinical applications of whole-body MRI for vascular disease.
- To evaluate the current evidence supporting a systemic approach to vascular disease evaluation using MRI.
Main Methods:
- Review of current literature on advanced MRI techniques for vascular imaging.
- Discussion of standardized protocols for whole-body arterial tree assessment.
- Analysis of clinical studies demonstrating the application and benefits of this comprehensive approach.
Main Results:
- Advanced MRI enables simultaneous evaluation of the entire arterial tree in a single session.
- This holistic approach provides a global assessment of vascular health and disease burden.
- Potential for improved disease staging and personalized treatment strategies.
Conclusions:
- Whole-body MRI offers a paradigm shift in evaluating systemic vascular diseases.
- This comprehensive imaging approach addresses the limitations of single-territory assessments.
- It facilitates a more accurate understanding of disease extent and patient risk stratification.
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