title: Quantitative lung ventilation using Fourier decomposition MRI; comparison and initial study.
abstract: OBJECTIVE
  The Fourier decomposition (FD) method is a noninvasive method for assessing ventilation and perfusion-related information in the lungs, but the lack of quantifiable values is a drawback. We demonstrate a novel technique for quantification of the FD ventilation maps, compare it to two published methods, and show results from both healthy volunteers and patients diagnosed with lung cancer.
  
  
  METHODS
  We quantified the standard FD ventilation images by utilizing additional information, i.e., the zero-frequency component image, which is also obtained from the Fourier analysis. This image acts as a baseline for the changes recorded in the FD ventilation image and can therefore be used to calculate the ventilation. Using this technique, we compared the ventilation values from ten healthy volunteers and ten patients to two previously published methods for quantitative ventilation assessment.
  
  
  RESULTS
  All methods showed good overall agreement (mean difference between the methods was 14-38 ml/min). The mean minute ventilation for the FD method was calculated to be 693 ml/min for a 2D slice, which is in the expected range.
  
  
  CONCLUSIONS
  The zero-frequency component image can be used as a baseline to quantify the FD ventilation maps. Our initial study showed good agreement with published methods in healthy volunteers, but less so in patients with lung cancer.
authors: Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany, asmund.kjorstad@medma.uni-heidelberg.de.
authors: Åsmund
authors: Å
authors: Kjørstad
authors: Dominique M R
authors: DM
authors: Corteville
authors: Thomas
authors: T
authors: Henzler
authors: Gerald
authors: G
authors: Schmid-Bindert
authors: Erlend
authors: E
authors: Hodneland
authors: Frank G
authors: FG
authors: Zöllner
authors: Lothar R
authors: LR
authors: Schad
mesh_terms: D000465:Algorithms; D005583:Fourier Analysis; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008168:Lung / Q000473:pathology / Q000503:physiopathology; D008175:Lung Neoplasms / Q000175:diagnosis / Q000503:physiopathology; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010865:Pilot Projects; D012123:Pulmonary Ventilation; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity