Volume 34, Issue 1 pp. 225-230
Technical Note

Effects of respiratory cycle and body position on quantitative pulmonary perfusion by MRI

Jie J. Cao MD, MPH

Corresponding Author

Jie J. Cao MD, MPH

Research Department, St Francis Hospital-The Heart Center, Roslyn, New York, USA

Division of Cardiology, State University of New York at Stony Brook, Stony Brook, New York, USA

Cardiac MRI and CT, St Francis Hospital, State University of New York, Stony Brook, 100 Port Washington Boulevard, Roslyn, NY 11576Search for more papers by this author
Yi Wang ScD

Yi Wang ScD

Research Department, St Francis Hospital-The Heart Center, Roslyn, New York, USA

Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York, USA

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William Schapiro RT

William Schapiro RT

Research Department, St Francis Hospital-The Heart Center, Roslyn, New York, USA

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Jeannette McLaughlin RN

Jeannette McLaughlin RN

Research Department, St Francis Hospital-The Heart Center, Roslyn, New York, USA

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Joshua Cheng RT

Joshua Cheng RT

Research Department, St Francis Hospital-The Heart Center, Roslyn, New York, USA

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Michael Passick BS

Michael Passick BS

Research Department, St Francis Hospital-The Heart Center, Roslyn, New York, USA

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Nora Ngai PhD

Nora Ngai PhD

Research Department, St Francis Hospital-The Heart Center, Roslyn, New York, USA

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Philip Marcus MD

Philip Marcus MD

St Francis Hospital-The Heart Center, Roslyn, New York, USA

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Nathaniel Reichek MD

Nathaniel Reichek MD

Research Department, St Francis Hospital-The Heart Center, Roslyn, New York, USA

Division of Cardiology, State University of New York at Stony Brook, Stony Brook, New York, USA

Department of Biomedical Engineering, State University of New York at Stony Brook, Stony Brook, New York, USA

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First published: 22 June 2011
Citations: 16

Abstract

Purpose:

To evaluate the performance of lung perfusion imaging using two-dimensional (2D) first pass perfusion MRI and a quantitation program based on model-independent deconvolution algorithm.

Materials and Methods:

In eight healthy volunteers 2D first pass lung perfusion was imaged in coronal planes using a partial Fourier saturation recovery stead state free precession (SSFP) technique with a temporal resolution of 160 ms per slice acquisition. The dynamic signal in the lung was measured over time and absolute perfusion calculated based on a model-independent deconvolution program.

Results:

In the supine position mean pulmonary perfusion was 287 ± 106 mL/min/100 mL during held expiration. It was significantly reduced to 129 ± 68 mL/min/100 mL during held inspiration. Similar differences due to respiration were observed in prone position with lung perfusion much greater during expiration than during inspiration (271 ± 101 versus 99 ± 38 mL/min/100 mL (P < 0.01)). There was a linear increase in pulmonary perfusion from anterior to posterior lung fields in supine position. The perfusion gradient reversed in the prone position with the highest perfusion in anterior lung and the lowest in posterior lung fields.

Conclusion:

Lung perfusion imaging using a 2D saturation recovery SSFP perfusion MRI coupled with a model-independent deconvolution algorithm demonstrated physiologically consistent dynamic heterogeneity of lung perfusion distribution. J. Magn. Reson. Imaging 2011;. © 2011 Wiley-Liss, Inc.

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