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Updated: Feb 21, 2026

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

Self-controlled super-selective arterial spin labelling.

Thomas Lindner¹, Friederike Austein², Olav Jansen²

¹Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Arnold-Heller-Str. 3, 24103, Kiel, Germany. Thomas.Lindner@uksh.de.

European Radiology

|October 4, 2017

Summary

This summary is machine-generated.

This study introduces an accelerated method for arterial spin labelling (ASL) flow territory mapping, eliminating the need for a control condition. This self-controlled super-selective ASL technique achieves comparable results to conventional methods.

Keywords:

Arterial spin labelling Flow territory mapping Perfusion Self-control Super-selective

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Published on: December 18, 2016

Area of Science:

Medical Imaging
Radiology
Neuroimaging

Background:

Arterial spin labelling (ASL) is a non-contrast perfusion imaging technique.
Conventional ASL requires acquiring two images for subtraction, prolonging scan times.
Flow territory mapping using ASL often involves redundant data acquisition.

Purpose of the Study:

To accelerate flow territory mapping using ASL.
To eliminate the need for a control condition acquisition in ASL.
To introduce a novel self-controlled super-selective ASL method.

Main Methods:

Utilized super-selective ASL, tagging only one artery of interest.
Employed an arithmetic combination of label images from all territories.
Developed a self-controlled super-selective ASL approach without a control scan.

Main Results:

Quantitative perfusion measurements were consistent with conventional methods.
The novel technique yielded results comparable to established super-selective and non-selective ASL imaging.
Demonstrated successful artery-selective perfusion-weighted imaging without a control condition.

Conclusions:

Super-selective arterial spin labelling can be effectively performed without acquiring a control image.
The presented accelerated method for flow territory mapping is validated against established techniques.
A new approach for calculating individual flow territories using ASL is established.