Pulse sequence design is a significant component of MRI research. However, multi-vendor studies require researchers to be acquainted with each hardware platform's programming environment.
PyPulseq enables vendor-neutral pulse sequence design in Python [1,2]. The pulse sequences can be
exported as a .seq
file to be run on Siemens/GE/Bruker hardware by leveraging their respective
Pulseq interpreters. This tool is targeted at MRI pulse sequence designers, researchers, students and other interested
users. It is a translation of the Pulseq framework originally written in Matlab [3]. Currently,
PyPulseq is compatible with Pulseq 1.2.0.
It is strongly recommended to first read the Pulseq specification before proceeding. The specification document defines the concepts required for pulse sequence design using PyPulseq. API docs can be found here.
If you use PyPulseq in your work, cite as:
Ravi, Keerthi, Sairam Geethanath, and John Vaughan. "PyPulseq: A Python Package for MRI Pulse Sequence Design." Journal
of Open Source Software 4.42 (2019): 1725.
Ravi, Keerthi Sravan, et al. "Pulseq-Graphical Programming Interface: Open source visual environment for prototyping
pulse sequences and integrated magnetic resonance imaging algorithm development." Magnetic resonance imaging 52 (2018):
9-15.
Design pulse sequences using pypulseq
in your browser! Check out the Lightning-start ⚡ section to
learn how!
Relevant literature (reverse chronological)
- Ravi, Keerthi Sravan, and Sairam Geethanath. "Autonomous Magnetic Resonance Imaging." medRxiv (2020).
- Nunes, Rita G., et al. "Implementation of a Diffusion-Weighted Echo Planar Imaging sequence using the Open Source Hardware-Independent PyPulseq Tool." ISMRM & SMRT Virtual Conference & Exhibition, International Society for Magnetic Resonance in Medicine (ISMRM) (2020).
- Loktyushin, Alexander, et al. "MRzero--Fully automated invention of MRI sequences using supervised learning." arXiv preprint arXiv:2002.04265 (2020).
- Jimeno, Marina Manso, et al. "Cross-vendor implementation of a Stack-of-spirals PRESTO BOLD fMRI sequence using TOPPE and Pulseq." ISMRM & SMRT Virtual Conference & Exhibition, International Society for Magnetic Resonance in Medicine (ISMRM) (2020).
- Clarke, William T., et al. "Multi-site harmonization of 7 tesla MRI neuroimaging protocols." NeuroImage 206 (2020): 116335.
- Geethanath, Sairam, and John Thomas Vaughan Jr. "Accessible magnetic resonance imaging: a review." Journal of Magnetic Resonance Imaging 49.7 (2019): e65-e77.
- Tong, Gehua, et al. "Virtual Scanner: MRI on a Browser." Journal of Open Source Software 4.43 (2019): 1637.
- Archipovas, Saulius, et al. "A prototype of a fully integrated environment for a collaborative work in MR sequence development for a reproducible research." ISMRM 27th Annual Meeting & Exhibition, International Society for Magnetic Resonance in Medicine (ISMRM) (2019).
- Pizetta, Daniel Cosmo. PyMR: a framework for programming magnetic resonance systems. Diss. Universidade de São Paulo (2018).
>=Python 3.6, virtual environment recommended:
pip install pypulseq
- Create a new notebook on Google Colab
- Install PyPulseq
- Get going!
Or, explore an example notebook:
- Copy URL of an example notebook from here
- On Google Colab, insert the copied link to get started
Every example script creates a pulse sequence, plots the pulse timing diagram and writes a .seq
file to disk.
Getting started with pulse sequence design using PyPulseq
is simple:
- Install PyPulseq
- First, define system limits in
Opts
and then create aSequence
object with it:from pypulseq.opts import Opts from pypulseq.sequence.sequence import Sequence system = Opts(max_grad=32, grad_unit='mT/m', max_slew=130, slew_unit='mT/m/s') seq = Sequence(system=system)
- Then, design gradient, RF or ADC pulse sequence events:
from pypulseq.make_sinc_pulse import make_sinc_pulse from pypulseq.make_trap_pulse import make_trapezoid from pypulseq.make_adc import make_adc Nx, Ny = 256, 256 # matrix size fov = 220e-3 # field of view delta_k = fov / Nx # RF sinc pulse with a 90 degree flip angle rf90, _, _ = make_sinc_pulse(flip_angle=90, duration=2e-3, system=system, slice_thickness=5e-3, apodization=0.5, time_bw_product=4) # Frequency encode, trapezoidal event gx = make_trapezoid(channel='x', flat_area=Nx * delta_k, flat_time=6.4e-3, system=system) # ADC readout adc = make_adc(num_samples=Nx, duration=gx.flat_time, delay=gx.rise_time, system=system)
- Add these pulse sequence events to the
Sequence
object from step 2. One or more events can be executed simultaneously, simply pass them all to theadd_block()
method. For example, thegx
andadc
pulse sequence events need to be executed simultaneously:seq.add_block(rf90) seq.add_block(gx, adc)
- Visualize plots:
seq.plot()
- Generate a
.seq
file to be executed on a real MR scanner:seq.write('demo.seq')
Get in touch regarding running the .seq
files on your Siemens/GE/Bruker scanner.
PyPulseq
adheres to a code of conduct adapted from the Contributor Covenant code of conduct.
Contributing guidelines can be found here.
- Ravi, Keerthi, Sairam Geethanath, and John Vaughan. "PyPulseq: A Python Package for MRI Pulse Sequence Design." Journal of Open Source Software 4.42 (2019): 1725.
- Ravi, Keerthi Sravan, et al. "Pulseq-Graphical Programming Interface: Open source visual environment for prototyping pulse sequences and integrated magnetic resonance imaging algorithm development." Magnetic resonance imaging 52 (2018): 9-15.
- Layton, Kelvin J., et al. "Pulseq: a rapid and hardware‐independent pulse sequence prototyping framework." Magnetic resonance in medicine 77.4 (2017): 1544-1552.