Amit Mehndiratta

Summary

Affiliation: University of Oxford
Country: UK

Publications

  1. doi request reprint A control point interpolation method for the non-parametric quantification of cerebral haemodynamics from dynamic susceptibility contrast MRI
    Amit Mehndiratta
    Institute of Biomedical Engineering, University of Oxford, United Kingdom
    Neuroimage 64:560-70. 2013
  2. doi request reprint Modeling and correction of bolus dispersion effects in dynamic susceptibility contrast MRI
    Amit Mehndiratta
    Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
    Magn Reson Med 72:1762-74. 2014
  3. doi request reprint Modeling the residue function in DSC-MRI simulations: analytical approximation to in vivo data
    Amit Mehndiratta
    Institute of Biomedical Engineering, University of Oxford, United Kingdom
    Magn Reson Med 72:1486-91. 2014

Detail Information

Publications3

  1. doi request reprint A control point interpolation method for the non-parametric quantification of cerebral haemodynamics from dynamic susceptibility contrast MRI
    Amit Mehndiratta
    Institute of Biomedical Engineering, University of Oxford, United Kingdom
    Neuroimage 64:560-70. 2013
    ..The CPI method could serve as a viable means to examine the residue function shape under pathological variations...
  2. doi request reprint Modeling and correction of bolus dispersion effects in dynamic susceptibility contrast MRI
    Amit Mehndiratta
    Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
    Magn Reson Med 72:1762-74. 2014
    ..Additionally, these approaches potentially provide a means to quantify the microvascular residue function...
  3. doi request reprint Modeling the residue function in DSC-MRI simulations: analytical approximation to in vivo data
    Amit Mehndiratta
    Institute of Biomedical Engineering, University of Oxford, United Kingdom
    Magn Reson Med 72:1486-91. 2014
    ..The purpose of this study was to characterize in vivo residue function variations in normal and infarcted tissue in a chronic atherosclerotic disease cohort, and to find the most appropriate model for use in DSC simulations...