qmri-viz
Visualisation utilities for qmri quantitative MRI analysis.
Installation
pip install qmri-viz
Quick Start
from qmri.diffusion import adc
from qmri.viz import fitting, maps
# Fit data
result = adc.fit(signal, b_values)
# Plot fit diagnostics
fitting.plot_fit(signal, b_values, result)
# Display parameter map
maps.show_slice(result.adc, title="ADC Map", cmap="viridis")
Features
- Fit diagnostics — Visualise model fits with residuals
- Parameter maps — Display quantitative maps with appropriate colormaps
- Calibration plots — Phantom calibration visualisation
- Multi-slice views — Browse through 3D volumes
Design
This package provides matplotlib-based visualisation utilities. It's kept separate from the core qmri package so users who don't need plotting avoid the matplotlib dependency.
Documentation
Full documentation: https://gold-standard-phantoms.github.io/qmri
Licence
MIT
Metadata
Release files for qmri-viz 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qmri_viz-0.1.0.tar.gz | 10.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qmri_viz-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.9 kB
Release files / qmri_viz-0.1.0.tar.gz
| Download URL | qmri_viz-0.1.0.tar.gz |
|---|---|
| Size | 10.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
28d9f50e9260500dee63d2f87e1530d4f9cdb897832a2e2eac438ad02534c49e
|
|
BLAKE2b-256 checksum How to use checksums |
d530e3dc4fdf471fd9376a3fb438ca2e4de21a8a388d8cc4d40603738d19dc4b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|
Release files / qmri_viz-0.1.0-py3-none-any.whl
| Download URL | qmri_viz-0.1.0-py3-none-any.whl |
|---|---|
| Size | 10.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a77d763597fa5aff0e8986dcb3c65e291e1f37de489563c39f5c844b9514a113
|
|
BLAKE2b-256 checksum How to use checksums |
2213986a9e154c59e467669e15cd5b539f3d56b20ecd164741e094e18ce1cafc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|