MRI Estimation of T1 Relaxation Time Using a Constrained Optimization Algorithm

  • Fang Cao
  • Olivier Commowick
  • Elise Bannier
  • Jean-Christophe Ferré
  • Gilles Edan
  • Christian Barillot
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7509)


We propose a new method to improve T 1 mapping with respect to the popular DESPOT1 algorithm. A distance function is defined to model the distance between the pure signal and the measurements in presence of noise. We use a constrained gradient descent optimization algorithm to iteratively find the optimal values of T 1 and M 0. The method is applied to MR images acquired with 2 gradient echo sequences and different flip angles. The performance of T 1 mapping is evaluated both on phantom and on in vivo experiments.


T1 relaxometry DESPOT1 quantitative analysis MRI 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fang Cao
    • 1
  • Olivier Commowick
    • 1
  • Elise Bannier
    • 1
  • Jean-Christophe Ferré
    • 2
  • Gilles Edan
    • 2
  • Christian Barillot
    • 1
  1. 1.IRISA UMR CNRS 6074VisAGeS U746 INSERM/INRIARennesFrance
  2. 2.University hospital PontchaillouRennesFrance

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