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Phase-Resolved Functional Lung MRI for Pulmonary Ventilation and Perfusion (V/Q) Assessment

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Improved visualization of delayed perfusion in lung MRI.

Frank Risse¹, Monika Eichinger, Hans-Ulrich Kauczor

¹Department of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany.

European Journal of Radiology

|August 29, 2009

Summary

This study introduces a new method for analyzing lung perfusion using 3D-DCE-MRI. It preserves temporal information to accurately classify perfusion defects, improving diagnostic capabilities for various lung diseases.

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Area of Science:

Radiology
Medical Imaging
Pulmonary Medicine

Background:

Three-dimensional (3D) dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a novel technique for assessing pulmonary perfusion.
Traditional subtraction imaging in 3D-DCE-MRI for lung evaluation masks crucial temporal information, potentially obscuring perfusion defects.

Purpose of the Study:

To develop and demonstrate a straightforward analysis strategy for 3D-DCE-MRI lung perfusion datasets.
To classify pulmonary perfusion abnormalities without losing temporal data, enhancing diagnostic accuracy.

Main Methods:

Pulmonary perfusion was measured in patients with lung diseases using a 1.5 T MR scanner and a time-resolved 3D-GRE sequence.
Acquired 25 3D-volumes post-injection of Gadolinium-DTPA, calculating peak enhancement, time to peak enhancement (τ), and their ratio (R) for each pixel.

Main Results:

A novel classification identified five perfusion types: normal, delayed non-reduced, reduced non-delayed, reduced and delayed, and no perfusion.
Subtractive imaging methods failed to detect delayed or combined reduced and delayed perfusion (Types II and IV), highlighting the importance of temporal information.

Conclusions:

The proposed analysis strategy enables simple, observer-independent visualization and classification of impaired pulmonary perfusion in 3D-DCE-MRI.
Utilizing temporal information from 3D-DCE-MRI datasets significantly improves the detection and characterization of perfusion abnormalities.