Speaker
Pedro Gómez
(Technical University of Munich)
Description
Quantitative Transient-state Imaging (QTI) is a non-random, dictionary-less MR Fingerprinting alternative. Through iterative reconstructions, QTI recovers a series of contrast-weighted images from transient-state acquisitions and subsequently estimates the parameters that best describe the resulting dynamic signal evolutions. Here, we extend the QTI framework by incorporating a simple velocity model that accounts for blood flowing into and out of the imaging slice. The model, however wrong, can be very useful: it predicts signal hyperintensities in the presence of flow, allowing for the simultaneous reconstruction of MR Angiography images, hundreds of dynamic contrast-weighted images, and their corresponding parametric maps.
Primary author
Pedro Gómez
(Technical University of Munich)
Co-authors
Prof.
Bjoern Menze
(Technical University of Munich)
Guido Buonincontri
(PI)
Dr
Marion Menzel
(GE Global Research)
Mr
Miguel Molina-Romero
(Technical University of Munich)
