Quality assurance tools for MRI geometric distortion
Project description
mri_distortion_toolkit
This code enables characterization, reporting, and correction of geometric distortion in Magnetic Resonance Imaging.
For the measurement of such distortions, see here.
The workflow steps are below, but all steps have well defined input/output so you can use any part of this code independently from the other parts. For a tutorial on each step, click on the diagram below. For an example of our automated reporting template see here
flowchart LR
A[Marker <br>Extraction]--->B[Marker <br>Matching]
B[Marker <br>Matching]--->C[Field <br> Calculation] & E[Automated <br>reporting]
C[Field <br> Calculation]-->D[Spherical Harmonic <br>Analysis]
D[Spherical Harmonic <br>Analysis]-->E[Automated <br>reporting];
D[Spherical Harmonic <br>Analysis]-->F[Distortion Correction]
click A "https://acrf-image-x-institute.github.io/mri_distortion_toolkit/code_docs.html#MRI_DistortionQA.MarkerAnalysis.MarkerVolume"
click B "https://acrf-image-x-institute.github.io/mri_distortion_toolkit/code_docs.html#MRI_DistortionQA.MarkerAnalysis.MatchedMarkerVolumes"
click C "https://acrf-image-x-institute.github.io/mri_distortion_toolkit/code_docs.html#MRI_DistortionQA.FieldCalculation.ConvertMatchedMarkersToBz"
click D "https://acrf-image-x-institute.github.io/mri_distortion_toolkit/code_docs.html#MRI_DistortionQA.FieldAnalysis.SphericalHarmonicFit"
click E "https://acrf-image-x-institute.github.io/mri_distortion_toolkit/code_docs.html#MRI_DistortionQA.Reports.MRI_QA_Reporter"
Setup/Build/Install
pip install mri_distortion_toolkit
Usage
Detailed documentation is here.
Directory Structure
- docsrc markdown/rst source documentation
- tests test cases
- MRI_DistortionQA source code
- examples source code for the worked examples
Project details
Release history Release notifications | RSS feed
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 mri_distortion_toolkit-0.11.0.tar.gz
.
File metadata
- Download URL: mri_distortion_toolkit-0.11.0.tar.gz
- Upload date:
- Size: 51.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f5021e793a7d3417120beb39d2561e67c1ce5188b8c217251958a299f15ddd60 |
|
MD5 | afb822f8e94061fa7288ff93a1d19f8f |
|
BLAKE2b-256 | 03c15e402d2ba30766be22011c006fb92065517283ead920eff61dd15aa15a7a |
File details
Details for the file mri_distortion_toolkit-0.11.0-py3-none-any.whl
.
File metadata
- Download URL: mri_distortion_toolkit-0.11.0-py3-none-any.whl
- Upload date:
- Size: 55.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6de285808a6291180294780f752ec7ec1b8d31c5d0cde6f3e50f03e085715558 |
|
MD5 | 63a7d6a2a5592f5a6af60f69f824ab3b |
|
BLAKE2b-256 | 8477f27257ee998a94b6edeee021262b4409625a104d8ef45eac527e3f80cabb |