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

@article{Layton2017PulseqAR,
  title={Pulseq: A rapid and hardware‐independent pulse sequence prototyping framework},
  author={Kelvin J. Layton and Stefan Kroboth and Feng Jia and Sebastian Littin and Huijun Yu and Jochen Leupold and Jon-Fredrik Nielsen and Tony St{\"o}cker and Maxim Zaitsev},
  journal={Magnetic Resonance in Medicine},
  year={2017},
  volume={77}
}
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. 
Portable and platform‐independent MR pulse sequence programs
To introduce a new sequence description format for vendor‐independent MR sequences that include all calculation logic portably. To introduce a new MRI sequence development approach which utilizes
Ultrafast (milliseconds), multidimensional RF pulse design with deep learning
TLDR
This work proposes a novel deep learning approach to ultrafast design of multidimensional RF pulses with intention of real‐time pulse updates for reduced‐FOV imaging, regional flip‐angle homogenization, and localized spectroscopy of hyperpolarized metabolites.
TOPPE: A framework for rapid prototyping of MR pulse sequences
TLDR
To introduce a framework for rapid prototyping of MR pulse sequences, a series of experiments were conducted to demonstrate the ability of this approach to solve the challenge of rapidly prototyping complex MR sequences.
PyPulseq: A Python Package for MRI Pulse Sequence Design
TLDR
Pulseq is introduced, which enables pulse sequence programming in Python with zero licensing fees and easy integration with deep learning methods developed in Python, aimed at MRI researchers, faculty, students, and other allied field researchers such as those in neuroscience.
Scalable vendor independent software platform for Pulse Sequence Implementation in MRI
TLDR
An innovative design wherein the newly developed pulses sequences are seamlessly integrated into the machine with due validation and registration and also without affecting the major software workflow is one of the key features of the software platform.
Benchmarking the performance of a low-cost Magnetic Resonance Control System at multiple sites in the open MaRCoS community
TLDR
The results presented here show that a number of different sequences commonly used in the clinic can be programmed into an open-source system relatively quickly and easily, and can produce good quality images even at this early stage of development.
A framework for validating open-source pulse sequences.
Clinical Potential of a New Approach to MRI Acceleration
TLDR
This work introduces the insight that Cartesian-FRONSAC retains many desirable features of Cartesian imaging, and improves accelerated imaging while retaining the robustness and flexibility critical to real clinical use.
...
...

References

SHOWING 1-10 OF 26 REFERENCES
Pulse sequence programming in a dynamic visual environment: SequenceTree
TLDR
The software is a user‐friendly alternative to vendor‐supplied pulse sequence design and editing tools and is suited for programmers and nonprogrammers alike.
Medusa: A Scalable MR Console Using USB
TLDR
This work proposes an open system architecture using the universal serial bus (USB) for scalability, combined with distributed processing and buffering to address the high data rates and strict synchronization required by multichannel MRI.
ODIN-object-oriented development interface for NMR.
High‐performance computing MRI simulations
TLDR
JEMRIS, the Jülich Extensible MRI Simulator, which provides an MRI sequence development and simulation environment for the MRI community, is presented and examples of novel simulation results in active fields of MRI research are given.
A desktop magnetic resonance imaging system
TLDR
Results from 3D data sets of resolution phantoms and fixed, newborn mice demonstrate the capability of this small, low-cost MR system to obtain useful images from a system constructed for approximately $13 500.
Novel software architecture for rapid development of magnetic resonance applications
TLDR
A software architecture has been developed for a commercial MR scanner that employs state of the art software technologies including Java, C++, DICOM, XML, and so forth, which permits graphical assembly of applications built on simple processing building blocks, including pulse sequences, a user interface, reconstruction and postprocessing, and database control.
The integration of real and virtual magnetic resonance imaging experiments in a single instrument.
TLDR
The design of an integrated system for performing both real and virtual (simulated) magnetic resonance imaging (MRI) experiments is presented and the operation of the system is demonstrated for T(1), T(2) ( *), and diffusion contrasts.
Fast and quiet MRI using a swept radiofrequency.
Trajectory optimization based on the signal‐to‐noise ratio for spatial encoding with nonlinear encoding fields
TLDR
This work aims to optimize encoding trajectories for multiple nonlinear gradient fields based on the image signal‐to‐noise ratio.
“Silent” MRI with soft gradient pulses
TLDR
A method to reduce the acoustic noise generated by gradient systems in magnetic resonance imaging (MRI) is proposed based on the linear response theory, using gradient pulse sequences whose spectra are limited to this frequency range.
...
...