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Abstract #1934

Non-Contrast-Enhanced Perfusion and Ventilation Assessment of the Human Lung by Means Of Wavelet Decomposition in Proton MRI

David Bondesson1,2, Thomas Gaass1,3, Julien Dinkel1,2, and Berthold Kiefer4

1Josef Lissner Laboratory for Biomedical Imaging, Department of Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany, 2Comprehensive Pneumology Center, German Center for Lung Research, Munich, Germany, 3Comprehensive Pneumology Center,German Center for Lung Research, Munich, Germany, 4Siemens AG Healthcare Sector, Erlangen, Germany

Evaluating regional lung perfusion and ventilation is diagnostically valuable in regards of pulmonary diseases. Standard methods however, expose patients to risks from ionizing radiation and contrast agents. MRI screening is not based on radiation and a new method has previously been presented as a non-contrast-enhanced estimation. This work presents wavelet decomposition as a potential improvement to fourier decomposition for perfusion and ventilation assessment of the human lung in proton MRI.

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