Jia Ning1,2, Tilman Schubert2,3, Kevin M Johnson4, Alejandro Roldán-Alzate2, Huijun Chen1, Chun Yuan1,5, Scott B Reeder2,4,6,7,8. 1. Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China. 2. Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin, USA. 3. Clinic for Radiology and Nuclear Medicine, Basel University Hospital, Basel, Switzerland. 4. Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA. 5. Department of Radiology, University of Washington, Seattle, Washington, USA. 6. Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA. 7. Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA. 8. Department of Emergency Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Abstract
PURPOSE: To propose a simple method to correct vascular input function (VIF) due to inflow effects and to test whether the proposed method can provide more accurate VIFs for improved pharmacokinetic modeling. METHODS: A spoiled gradient echo sequence-based inflow quantification and contrast agent concentration correction method was proposed. Simulations were conducted to illustrate improvement in the accuracy of VIF estimation and pharmacokinetic fitting. Animal studies with dynamic contrast-enhanced MR scans were conducted before, 1 week after, and 2 weeks after portal vein embolization (PVE) was performed in the left portal circulation of pigs. The proposed method was applied to correct the VIFs for model fitting. Pharmacokinetic parameters fitted using corrected and uncorrected VIFs were compared between different lobes and visits. RESULTS: Simulation results demonstrated that the proposed method can improve accuracy of VIF estimation and pharmacokinetic fitting. In animal study results, pharmacokinetic fitting using corrected VIFs demonstrated changes in perfusion consistent with changes expected after PVE, whereas the perfusion estimates derived by uncorrected VIFs showed no significant changes. CONCLUSION: The proposed correction method improves accuracy of VIFs and therefore provides more precise pharmacokinetic fitting. This method may be promising in improving the reliability of perfusion quantification. Magn Reson Med 79:3093-3102, 2018.
PURPOSE: To propose a simple method to correct vascular input function (VIF) due to inflow effects and to test whether the proposed method can provide more accurate VIFs for improved pharmacokinetic modeling. METHODS: A spoiled gradient echo sequence-based inflow quantification and contrast agent concentration correction method was proposed. Simulations were conducted to illustrate improvement in the accuracy of VIF estimation and pharmacokinetic fitting. Animal studies with dynamic contrast-enhanced MR scans were conducted before, 1 week after, and 2 weeks after portal vein embolization (PVE) was performed in the left portal circulation of pigs. The proposed method was applied to correct the VIFs for model fitting. Pharmacokinetic parameters fitted using corrected and uncorrected VIFs were compared between different lobes and visits. RESULTS: Simulation results demonstrated that the proposed method can improve accuracy of VIF estimation and pharmacokinetic fitting. In animal study results, pharmacokinetic fitting using corrected VIFs demonstrated changes in perfusion consistent with changes expected after PVE, whereas the perfusion estimates derived by uncorrected VIFs showed no significant changes. CONCLUSION: The proposed correction method improves accuracy of VIFs and therefore provides more precise pharmacokinetic fitting. This method may be promising in improving the reliability of perfusion quantification. Magn Reson Med 79:3093-3102, 2018.
Authors: Caleb Roberts; Ross Little; Yvonne Watson; Sha Zhao; David L Buckley; Geoff J M Parker Journal: Magn Reson Med Date: 2011-01 Impact factor: 4.668
Authors: Jignesh Patel; Eric E Sigmund; Henry Rusinek; Marcel Oei; James S Babb; Bachir Taouli Journal: J Magn Reson Imaging Date: 2010-03 Impact factor: 4.813