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Non‐contrast‐enhanced perfusion and ventilation assessment of the human lung by means of fourier decomposition in proton MRI
Author(s) -
Bauman Grzegorz,
Puderbach Michael,
Deimling Michael,
Jellus Vladimir,
Chefd'hotel Christophe,
Dinkel Julien,
Hintze Christian,
Kauczor HansUlrich,
Schad Lothar R.
Publication year - 2009
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.22031
Subject(s) - perfusion , ventilation (architecture) , nuclear medicine , lung , sagittal plane , contrast (vision) , coronal plane , radiology , medicine , dynamic contrast enhanced mri , perfusion scanning , magnetic resonance imaging , biomedical engineering , nuclear magnetic resonance , computer science , physics , artificial intelligence , thermodynamics
Assessment of regional lung perfusion and ventilation has significant clinical value for the diagnosis and follow‐up of pulmonary diseases. In this work a new method of non‐contrast‐enhanced functional lung MRI (not dependent on intravenous or inhalative contrast agents) is proposed. A two‐dimensional (2D) true fast imaging with steady precession (TrueFISP) pulse sequence (TR/TE = 1.9 ms/0.8 ms, acquisition time [TA] = 112 ms/image) was implemented on a 1.5T whole‐body MR scanner. The imaging protocol comprised sets of 198 lung images acquired with an imaging rate of 3.33 images/s in coronal and sagittal view. No electrocardiogram (ECG) or respiratory triggering was used. A nonrigid image registration algorithm was applied to compensate for respiratory motion. Rapid data acquisition allowed observing intensity changes in corresponding lung areas with respect to the cardiac and respiratory frequencies. After a Fourier analysis along the time domain, two spectral lines corresponding to both frequencies were used to calculate the perfusion‐ and ventilation‐weighted images. The described method was applied in preliminary studies on volunteers and patients showing clinical relevance to obtain non‐contrast‐enhanced perfusion and ventilation data. Magn Reson Med, 2009. © 2009 Wiley‐Liss, Inc.