Pulseq: A rapid and hardware‐independent pulse sequence prototyping framework

  title={Pulseq: A rapid and hardware‐independent pulse sequence prototyping framework},
  author={Kelvin J. Layton and Stefan Kroboth and F. Jia and Sebastian Littin and Huijun Yu and J. Leupold and Jon-Fredrik Nielsen and T. St{\"o}cker and M. Zaitsev},
  journal={Magnetic Resonance in Medicine},
Implementing new magnetic resonance experiments, or sequences, often involves extensive programming on vendor‐specific platforms, which can be time consuming and costly. This situation is exacerbated when research sequences need to be implemented on several platforms simultaneously, for example, at different field strengths. This work presents an alternative programming environment that is hardware‐independent, open‐source, and promotes rapid sequence prototyping. 
24 Citations
Portable and platform‐independent MR pulse sequence programs
  • PDF
Ultrafast (milliseconds), multidimensional RF pulse design with deep learning
  • 7
  • PDF
TOPPE: A framework for rapid prototyping of MR pulse sequences
  • 10
  • PDF
PyPulseq: A Python Package for MRI Pulse Sequence Design
  • 2
  • Highly Influenced
  • PDF
Scalable vendor independent software platform for Pulse Sequence Implementation in MRI
Frequency‐adjustable magnetic field probes
Development and implementation of an 84‐channel matrix gradient coil
  • 22


Pulse sequence programming in a dynamic visual environment: SequenceTree
  • 30
  • Highly Influential
  • PDF
Medusa: A Scalable MR Console Using USB
  • 36
  • PDF
ODIN-object-oriented development interface for NMR.
  • 68
  • PDF
High‐performance computing MRI simulations
  • 83
A desktop magnetic resonance imaging system
  • S. Wright, D. Brown, +4 authors F. Huson
  • Computer Science, Medicine
  • Magnetic Resonance Materials in Physics, Biology and Medicine
  • 2007
  • 34
  • PDF
Novel software architecture for rapid development of magnetic resonance applications
  • 4
The integration of real and virtual magnetic resonance imaging experiments in a single instrument.
  • 13
Fast and quiet MRI using a swept radiofrequency.
  • 291
Trajectory optimization based on the signal‐to‐noise ratio for spatial encoding with nonlinear encoding fields
  • 12
“Silent” MRI with soft gradient pulses
  • 113
  • PDF