Memorias de investigación
Research Publications in journals:
NOVIFAST: A Fast Algorithm for Accurate and Precise VFA MRI T1 Mapping
Year:2018

Research Areas
  • Electronic technology and of the communications

Information
Abstract
In quantitative magnetic resonance T1 mapping, the variable ?ip angle (VFA) steady state spoiled gradient recalled echo (SPGR) imaging technique is popular as it provides a series of high resolution T1 weighted images in a clinically feasible time. Fast, linear methods that estimate T1 maps from these weighted images have been proposed, such as DESPOT1 and iterative re-weighted linear least squares. More accurate, non-linear least squares (NLLS) estimators are in play, but these are generally much slower and require careful initialization. In this paper, we present NOVIFAST, a novel NLLS-based algorithm speci?cally tailored to VFA SPGR T1 mapping. By exploiting the particular structure of the SPGR model, a computationally ef?cient, yet accurate and precise T1 map estimator is derived. Simulation and i n v i vo human brain experiments demonstrate a twenty-fold speed gain of NOVIFAST compared with conventional gradient-based NLLS estimators while maintaining a high precision and accuracy. Moreover, NOVIFAST is eight times faster than the ef?cient implementations of the variable projection (VARPRO) method. Furthermore, NOVIFAST is shown to be robust against initialization.
International
Si
JCR
Si
Title
Ieee Transactions on Medical Imaging
ISBN
0278-0062
Impact factor JCR
6,131
Impact info
Volume
37
10.1109/TMI.2018.2833288
Journal number
11
From page
2414
To page
2427
Month
NOVIEMBRE
Ranking
Participants
  • Autor: Gabriel Ramos-Llorden
  • Autor: Gonzalo Vegas Sánchez-Ferrero UPM
  • Autor: Markus Björk
  • Autor: Floris Vanhevel
  • Autor: Paul Parizel
  • Autor: Raúl San José Estépar
  • Autor: Arnold den Dekker
  • Autor: Jan Sijbers

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
  • Departamento: Ingeniería Electrónica