Memorias de investigación
Artículos en revistas:
NOVIFAST: A Fast Algorithm for Accurate and Precise VFA MRI T1 Mapping
Año:2018
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
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.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ieee Transactions on Medical Imaging
ISSN
0278-0062
Factor de impacto JCR
6,131
Información de impacto
Volumen
37
DOI
10.1109/TMI.2018.2833288
Número de revista
11
Desde la página
2414
Hasta la página
2427
Mes
NOVIEMBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • 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
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
  • Departamento: Ingeniería Electrónica