Skip to main content

An xarray-based MRI and MRS toolbox

Project description

xmris logo

A modern, N-dimensional, xarray-based toolbox for Magnetic Resonance Imaging and Spectroscopy.

MyST GitHub Pages Deploy Tests codecov
uv Ruff Python Versions License: AGPL v3

📖 Documentation

Documentation, tutorials, and API reference can be found here.

⚡ Overview

xmris bridges the gap between modern data structures and magnetic resonance research. By building on top of xarray, it provides a robust environment for handling multi-dimensional MRI and MRS data with labeled coordinates, powerful broadcasting, and seamless integration with the scientific Python ecosystem.

Key Features:

  • N-Dimensional Data: Native handling of complex MRI/MRS datasets using xarray.
  • MRS Integration: Direct compatibility with tools like pyAMARES and nmrglue.
  • Modern Tooling: Built for speed and reliability, developed using uv and strictly typed for modern Python environments.

🚀 Installation

Note: xmris requires Python 3.11 or 3.12.

You can install the package directly from PyPI using standard package managers:

# Using pip
pip install xmris

# Using uv (recommended)
uv add xmris

💻 Quick Start

import numpy as np
import xarray as xr
import xmris  # Registers the .xmr accessor!

# 1. Create a dummy N-dimensional FID (e.g., 5 Voxels x 1024 Time points)
time = np.linspace(0, 1, 1024)
data = np.random.randn(5, 1024) + 1j * np.random.randn(5, 1024)

mrsi_data = xr.DataArray(
    data,
    dims=["Voxel", "Time"],
    coords={"Voxel": np.arange(5), "Time": time},
    attrs={"MHz": 120.0, "sw": 10000.0}
)

# 2. Process all voxels simultaneously using the .xmr accessor!
results = (
    mrsi_data
    .xmr.zero_fill(target_points=2048)
    .xmr.apodize_exp(lb=5.0)
    .xmr.to_spectrum()
    .xmr.autophase()
)

🛠️ Development

We use uv for lightning-fast dependency management and Ruff for linting/formatting. To set up a local development environment:

  1. Fork this repository and then clone your version of this repository.

  2. Sync the environment and install dependencies:

uv sync
  1. Run tests via pytest (which includes notebook testing via nbmake):
uv run pytest
  1. Build the MyST based documentation :
uv run docs

More information can be found in the documentation here


⚖️ License & Commercial Use

xmris is licensed under the GNU Affero General Public License v3.0 (AGPLv3).

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

xmris-0.4.0.tar.gz (56.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

xmris-0.4.0-py3-none-any.whl (53.1 kB view details)

Uploaded Python 3

File details

Details for the file xmris-0.4.0.tar.gz.

File metadata

  • Download URL: xmris-0.4.0.tar.gz
  • Upload date:
  • Size: 56.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.10.4 {"installer":{"name":"uv","version":"0.10.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for xmris-0.4.0.tar.gz
Algorithm Hash digest
SHA256 3dcc596a9dccdca4228e587734f37fe631497108537c5611619c60e4c64c0e03
MD5 b9df9a3b7e2548a5110d78152ec5c972
BLAKE2b-256 0394bb0c2f3a53d1b307b5d32548bb5771acce653df8eebde5090303bab98dc0

See more details on using hashes here.

File details

Details for the file xmris-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: xmris-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 53.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.10.4 {"installer":{"name":"uv","version":"0.10.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for xmris-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3f0dafdb70ddde13d82cc6dad26cea3db361dc772dac7046760ba8b5f106417a
MD5 460586c7aa1d8224079118fd7d3f0faa
BLAKE2b-256 7f99f30e7aa0f40846f318ca24c563c845850fd1f7c745f9b0a4d267fc4b5fcd

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page