Abstract #1934

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

David Bondesson^1,2, Thomas Gaass^1,3, Julien Dinkel^1,2, 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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