pypulseq/827264de1446feature-gammamri
feature-gammamri vs master
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2a8da329b377 | ChrisCH | Remove import of sig2py because it makes import as local package in Poetry to… | Jul 15 2022 | ||||
e375fcac5755 | ChrisCH | Also added abs for checking max grad and max slew rate, because when handling… | Jul 14 2022 | ||||
8074e7d143e3 | ChrisCH | Added abs() for checking gradient max slew rate, because with some nucleus (e.g. | Jul 14 2022 |
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README.md
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PyPulseq: A Python Package for MRI Pulse Sequence Design
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(#references). 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(#references). 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][api-docs].
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.
📢 Pulse sequence development in your browser!
Design pulse sequences using pypulseq in your browser! Check out the [Lightning-start ⚡][lightning-start] section to learn how!
- [Relevant literature][scholar-citations] (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).
Installation
\>=Python 3.6, virtual environment recommended:
pip install pypulseq
- Lightning-start ⚡ - PyPulseq in your browser!
- Create a new notebook on [Google Colab][google-colab]
- [Install][installation] PyPulseq
- Get going!
Or, explore an example notebook:
- Copy URL of an example notebook from [here][notebook-examples]
- On [Google Colab][google-colab], insert the copied link to get started
Quickstart 🏃♂ - example scripts
Every example script creates a pulse sequence, plots the pulse timing diagram and writes a .seq file to disk.
- [Install][installation] PyPulseq
- Download and run any of the [example][script-examples] scripts.
Deep dive 🤿 - custom pulse sequences
Getting started with pulse sequence design using PyPulseq is simple:
- [Install][installation] PyPulseq
- First, define system limits in Opts and then create a Sequence object with it: `python 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: `python 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 the add_block() method. For example, the gx and adc pulse sequence events need to be executed simultaneously:
python seq.add_block(rf90) seq.add_block(gx, adc)
- Visualize plots: `python seq.plot() `
- Generate a .seq file to be executed on a real MR scanner: `python seq.write('demo.seq') `
Get in touch regarding running the .seq files on your Siemens/[GE]/[Bruker] scanner.
Contributing and Community guidelines
PyPulseq adheres to a code of conduct adapted from the [Contributor Covenant] code of conduct. Contributing guidelines can be found [here][contrib-guidelines].
- References
- 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.
[api-docs]: https://pypulseq.readthedocs.io/en/latest [Bruker]: https://github.com/pulseq/bruker_interpreter [Contributor Covenant]: http://contributor-covenant.org [contrib-guidelines]: https://github.com/imr-framework/pypulseq/blob/master/CONTRIBUTING.md [GE]: https://toppemri.github.io [google-colab]: https://colab.research.google.com/ [installation]: #installation [lightning-start]: #lightning-start----pypulseq-in-your-browser [notebook-examples]: https://github.com/imr-framework/pypulseq/tree/dev/pypulseq/seq_examples/notebooks [Pulseq specification]: https://pulseq.github.io/specification.pdf [scholar-citations]: https://scholar.google.com/scholar?oi=bibs&hl=en&cites=16703093871665262997 [script-examples]: https://github.com/imr-framework/pypulseq/tree/master/pypulseq/seq_examples/scripts