Abstract #0625

Automated Assessment of Regional Lung Perfusion in Cystic Fibrosis Patients by Using Fourier Decomposition MRI

Grzegorz Bauman¹, Tobias Heimann², Eva Fritzsching³, Wolfhard Semmler¹, Michael Puderbach⁴,⁵, Monika Eichinger⁴

¹Dept. of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; ²Dept. of Medical and Biological Informatics, German Cancer Research Center (DKFZ), Heidelberg, Germany; ³Division of Pediatric Pulmonology & Allergy and Cystic Fibrosis Center, University Hospital Heidelberg, Heidelberg, Germany; ⁴Dept. of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; ⁵Clinics for Interventional and Diagnostic Radiology, Chest Clinics at the University of Heidelberg, Germany

The aim of this work was to validate an automated scoring system of regional perfusion defects for data acquired by using a non-contrast-enhanced technique of Fourier decomposition 1H MRI (FD-MRI) in a group of cystic fibrosis (CF) patients. This work proves that automated assessment of regional perfusion defects in CF patients with FD-MRI is feasible and comparable to visual scoring. This diagnostic method could be well suited for reproducible and reader independent detection of early functional impairment and noninvasive monitoring of therapy response.