title: Improving the arterial input function in dynamic contrast enhanced MRI by fitting the signal in the complex plane.
abstract: Dynamic contrast enhanced (DCE) imaging is a widely used technique in oncologic imaging. An essential prerequisite for obtaining quantitative values from DCE-MRI is the determination of the arterial input function (AIF). However, it is very challenging to accurately estimate the AIF using MR. A comprehensive model, which uses complex data instead of either magnitude or phase, was developed to improve AIF estimation.
  
  
  
  The model was first applied to simulated data. Subsequently, the accuracy of the estimated contrast agent concentration was validated in a phantom. Finally the method was applied to existing DCE scans of 13 prostate cancer patients.
  
  
  
  The complex signal method combines the complementary strengths of the magnitude and phase method, increasing the precision and accuracy of concentration estimation in simulated and phantom data. The in vivo AIFs show a good agreement between arterial voxels (standard deviation in the peak and tail equal 0.4 mM and 0.12 mM, respectively). Furthermore, the dynamic behavior closely followed the AIF obtained with DCE-CT in the same patients (mean correlation coefficient: 0.92).
  
  
  
  By using the complex signal, the AIF estimation becomes more accurate and precise. This might enable patient specific AIFs, thereby improving the quantitative values obtained from DCE-MRI. Magn Reson Med 76:1236-1245, 2016. © 2015 Wiley Periodicals, Inc.
authors.affiliation: Department of Radiotherapy, Imaging Division, University Medical Center Utrecht, Utrecht, the Netherlands. F.F.J.Simonis@umcutrecht.nl.
authors.forename: Frank F J
authors.initials: FF
authors.lastname: Simonis
authors.affiliation: Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.
authors.forename: Alessandro
authors.initials: A
authors.lastname: Sbrizzi
authors.affiliation: Department of Radiotherapy, Imaging Division, University Medical Center Utrecht, Utrecht, the Netherlands.
authors.forename: Ellis
authors.initials: E
authors.lastname: Beld
authors.affiliation: Department of Radiotherapy, Imaging Division, University Medical Center Utrecht, Utrecht, the Netherlands.
authors.forename: Jan J W
authors.initials: JJ
authors.lastname: Lagendijk
authors.affiliation: Department of Radiotherapy, Imaging Division, University Medical Center Utrecht, Utrecht, the Netherlands.
authors.forename: Cornelis A T
authors.initials: CA
authors.lastname: van den Berg
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003287:Contrast Media / Q000493:pharmacokinetics; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008954:Models, Biological; D009942:Organometallic Compounds / Q000493:pharmacokinetics*; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging* / Q000378:metabolism*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D003287:Contrast Media; D009942:Organometallic Compounds; C090600:gadobutrol
keywords: DCE-MRI; arterial input function; complex signal; fitting