Chuan Huang1, Christian Graff2,
Ali Bilgin3, Maria I. Altbach4
1Mathematics, University of Arizona,
Tucson, AZ, United States; 2Program in Applied Mathematics,
University of Arizona; 3Biomedical Engineering, University of
Arizona; 4Radiology, University of Arizona
There
has been an increased interest in quantitative MR parameter mapping
techniques which enable direct comparison of tissue-related values between
different subjects and scans. However the lengthy acquisition times needed by
conventional parameter mapping methods limit their use in the clinic. In this
work, we introduce a new model-based approach to reconstruct accurate T2 maps
directly from highly undersampled FSE data. The proposed approach referred to
as DIrect REconstruction of Principal COmponent coefficient Maps (DIREPCOM)
removes non-linearity from the model and employs sparsity constraints in both
the spatial and temporal dimensions to produces accurate T2 maps by using
Principal Component Analysis. While this proposed technique has been
illustrated for T2 estimation, the methodology can be adapted to the
estimation of other MR parameters.