A Pytorch based tool for MR physics simulations
Project description
MRphy.py
A pytorch based MR simulator package.
Infrastructure of:
Joint Design of RF and Gradient Waveforms via Auto-Differentiation for 3D Tailored Exitation in MRI
(arXiv: https://arxiv.org/abs/2008.10594)
cite as:
@article{luo2021joint,
author={Luo, Tianrui and Noll, Douglas C. and Fessler, Jeffrey A. and Nielsen, Jon-Fredrik},
journal={IEEE Transactions on Medical Imaging},
title={Joint Design of RF and gradient waveforms via auto-differentiation for 3D tailored excitation in MRI},
year={2021},
volume={},
number={},
pages={1-1},
doi={10.1109/TMI.2021.3083104}}
For the interpT
feature, consider citing:
@inproceedings{luo2021MultiScale,
title={Multi-scale Accelerated Auto-differentiable Bloch-simulation based joint design of excitation RF and gradient waveforms},
booktitle={ISMRM},
pages={3958},
author={Tianrui Luo and Douglas C. Noll and Jeffrey A. Fessler and Jon-Fredrik Nielsen},
year={2021}
}
Branches
master
: Stable;dev
: Ocassionallygit squash
'd,git push --force
'd;dev_cache
: Constantlygit push --force
'd.
Developments are mostly done on dev_cache
; when they have passed local checks, dev
will be git rebase
'd to dev_cache
, and sent for CI tests.
When enough updates have been accumulated, dev
will be git squashed into one large commit, followed by having master
-branch git rebase
'd onto it.
Installation
pip install mrphy
(The package is not yet sent to conda
.)
Demos
Check out files under ./test
.
After installation, one can quickly play with the tests through:
pytest -s
Only basic demo is available in this early version.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file mrphy-0.2.0.tar.gz
.
File metadata
- Download URL: mrphy-0.2.0.tar.gz
- Upload date:
- Size: 28.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5476d7a5cc2ab73c4206d531be7290fbc4312f7f7b05a12628aaa4e06b490fbc |
|
MD5 | f77dabaf4f40ecf32e9e6bf6b24ab2ad |
|
BLAKE2b-256 | 77c517be661e073b67850e7d54c6428446fb1eee55cf3c675727c5849227fcf5 |
Provenance
File details
Details for the file mrphy-0.2.0-py3-none-any.whl
.
File metadata
- Download URL: mrphy-0.2.0-py3-none-any.whl
- Upload date:
- Size: 32.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 266c97eadc56bc84c5065fcf83c4e7efbe5a19d1a76d9a3adb6f50df9089fa89 |
|
MD5 | b38980f63ac9ea63649940f10a23137c |
|
BLAKE2b-256 | fd129d5af38ecf1b73cf3d7c7ba200e78e1bc03013663efd3c34aa546f56b238 |