scholarly journals Optimal design of gradient waveforms for magnetic resonance imaging

1992 ◽  
Vol 20 (6) ◽  
pp. 732-733
Author(s):  
Orlando Paul Simonetti ◽  
Jeffrey L. Duerk
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Optimal Design ◽  
Resonance Imaging ◽  
Gradient Waveforms

Optimal design of a self shielded magnetic resonance imaging magnet

1993 ◽  
Vol 3 (11) ◽  
pp. 2121-2132 ◽  
Author(s):  
M. Souza ◽  
C. Vidigal ◽  
J. Taquin ◽  
M. Sauzade
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Optimal Design ◽  
Resonance Imaging

scholarly journals A Projection Algorithm for Gradient Waveforms Design in Magnetic Resonance Imaging

2016 ◽  
Vol 35 (9) ◽  
pp. 2026-2039 ◽  
Author(s):  
Nicolas Chauffert ◽  
Pierre Weiss ◽  
Jonas Kahn ◽  
Philippe Ciuciu
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Projection Algorithm ◽  
Resonance Imaging ◽  
Gradient Waveforms

Optimal Design for Functional Magnetic Resonance Imaging Experiments

2013 ◽  
Vol 221 (3) ◽  
pp. 174-189 ◽  
Author(s):  
Bärbel Maus ◽  
Gerard J. P. van Breukelen
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Optimal Design ◽  
Functional Magnetic Resonance Imaging ◽  
Optimality Criteria ◽  
Future Perspectives ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Related Activity ◽  
Analysis Models

This paper provides an overview of optimal design for functional magnetic resonance imaging (fMRI) studies. We present the main types of fMRI designs, namely blocked and event-related designs, and common objectives of fMRI experiments, for example, localization of task-related activity in the human brain. Furthermore, we present an introduction into the methodology for analysis and optimization of fMRI experiments, for instance common analysis models and applied optimality criteria. We outline some of the problems encountered when optimizing fMRI experiments, for example, the temporal autocorrelation between measurements in fMRI data. The most important results for optimization of blocked and event-related designs with regard to the different design objectives are presented and explained. Finally, we conclude with future perspectives and challenges for optimization of fMRI experiments.

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