Volume 72, Issue 2 pp. 558-562

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Quantitative lung perfusion evaluation using fourier decomposition perfusion MRI

Åsmund Kjørstad,

Åsmund Kjørstad

Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Germany

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Dominique M.R. Corteville,

Dominique M.R. Corteville

Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Germany

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Andre Fischer,

Andre Fischer

Institute of Radiology, Department for Experimental Radiology, University Clinic Wurzburg, Germany

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Thomas Henzler,

Thomas Henzler

Institute of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Germany

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Gerald Schmid-Bindert,

Gerald Schmid-Bindert

Interdisciplinary Thoracic Oncology, Department of Surgery, Medical Faculty Mannheim, Heidelberg University, Germany

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Frank G. Zöllner,

Corresponding Author

Frank G. Zöllner

Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Germany

^†These authors contributed equally to this work.

Correspondence to: Frank G. Zöllner, Ph.D., Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany. E-mail: [email protected]Search for more papers by this author

Lothar R. Schad,

Lothar R. Schad

Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Germany

^†These authors contributed equally to this work.

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Åsmund Kjørstad,

Åsmund Kjørstad

Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Germany

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Dominique M.R. Corteville,

Dominique M.R. Corteville

Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Germany

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Andre Fischer,

Andre Fischer

Institute of Radiology, Department for Experimental Radiology, University Clinic Wurzburg, Germany

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Thomas Henzler,

Thomas Henzler

Institute of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, Heidelberg University, Germany

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Gerald Schmid-Bindert,

Gerald Schmid-Bindert

Interdisciplinary Thoracic Oncology, Department of Surgery, Medical Faculty Mannheim, Heidelberg University, Germany

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Frank G. Zöllner,

Corresponding Author

Frank G. Zöllner

Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Germany

^†These authors contributed equally to this work.

Lothar R. Schad,

Lothar R. Schad

Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Germany

^†These authors contributed equally to this work.

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First published: 04 September 2013

https://doi.org/10.1002/mrm.24930

Citations: 44

Parts of this note were presented as an E-poster at the ISMRM13 in Salt Lake City, Utah, USA.

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Abstract

Purpose

To quantitatively evaluate lung perfusion using Fourier decomposition perfusion MRI. The Fourier decomposition (FD) method is a noninvasive method for assessing ventilation- and perfusion-related information in the lungs, where the perfusion maps in particular have shown promise for clinical use. However, the perfusion maps are nonquantitative and dimensionless, making follow-ups and direct comparisons between patients difficult. We present an approach to obtain physically meaningful and quantifiable perfusion maps using the FD method.

Methods

The standard FD perfusion images are quantified by comparing the partially blood-filled pixels in the lung parenchyma with the fully blood-filled pixels in the aorta. The percentage of blood in a pixel is then combined with the temporal information, yielding quantitative blood flow values. The values of 10 healthy volunteers are compared with SEEPAGE measurements which have shown high consistency with dynamic contrast enhanced-MRI.

Results

All pulmonary blood flow (PBF) values are within the expected range. The two methods are in good agreement (mean difference = 0.2 mL/min/100 mL, mean absolute difference = 11 mL/min/100 mL, mean PBF-FD = 150 mL/min/100 mL, mean PBF-SEEPAGE = 151 mL/min/100 mL). The Bland-Altman plot shows a good spread of values, indicating no systematic bias between the methods.

Conclusion

REFERENCES

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August 2014

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Quantitative lung perfusion evaluation using fourier decomposition perfusion MRI

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Quantitative lung perfusion evaluation using fourier decomposition perfusion MRI

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