fw-gear-mriqc


Namefw-gear-mriqc JSON
Version 0.9.0 PyPI version JSON
download
home_pagehttps://gitlab.com/flywheel-io/scientific-solutions/gears/mriqc
SummaryImage quality metrics for quality assessment of MRI
upload_time2024-11-18 15:02:44
maintainerNone
docs_urlNone
authorFlywheel
requires_python<4.0,>=3.8
licenseMIT
keywords flywheel gears
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <!-- markdownlint-disable-file MD041 -->
[![Docker Pulls](https://img.shields.io/docker/pulls/flywheel/mriqc.svg)](https://hub.docker.com/r/flywheel/mriqc/)
[![Docker Stars](https://img.shields.io/docker/stars/flywheel/mriqc.svg)](https://hub.docker.com/r/flywheel/mriqc/)

# MRIQC Gear

## Overview

### Summary

*Image quality metrics for quality assessment of MRI. For more information
see [MRIQC's documentation](http://mriqc.readthedocs.io).*

### Cite

*Esteban O, Birman D, Schaer M, Koyejo OO, Poldrack RA, Gorgolewski KJ; MRIQC:
Advancing the Automatic Prediction of Image Quality in MRI from Unseen Sites;
PLOS ONE 12(9):e0184661; doi:10.1371/journal.pone.0184661.*

### License

*License:* *BSD-3-Clause*

### Classification

*Category:* *QA (Utility)*

*Gear Level:*

- [ ] Project
- [ ] Subject
- [ ] Session
- [x] Acquisition
- [ ] Analysis

----

[[*TOC*]]

----

### Inputs

- *nifti*
  - __Type__: *NIfTI file (.nii, .nii.gz)*
  - __Optional__: *False*
  - __Description__: *MRI NIfTI file. Input can be a structural image (T1, T2) or a
  functional NIfTI file.*
  - __Notes__: *Intent and Measurement classification fields must be present in the
  input metadata for 'auto-detect' mode to work.*

### Config

- *debug*
  - __Type__: *boolean*
  - __Description__: *Log debug messages*
  - __Default__: *False*

- *measurement*
  - __Type__: *"enum": ["auto-detect", "functional", "T1", "T2"]*
  - __Description__: *Measurement of the input image. Note: for "auto-detect" mode to work,
  the input niftimust have the Intent and Measurement classification fields present in
  its metadata.*
  - __Default__: *"auto-detect"*

- *verbose_reports*
  - __Type__: *boolean*
  - __Description__: *Produce [verbose report outputs](https://mriqc.readthedocs.io/en/latest/reports/smri.html#verbose-reports).*
  - __Default__: *False*

- *include_rating_widget*
  - __Type__: *boolean*
  - __Description__: *Include the MRIQC built-in rating widget (does not function in flywheel).*
  - __Default__: *False*

- *tag*
  - __Type__: *string*
  - __Description__: *Tag to add to the input file.*
  - __Default__: *mriqc*

- *save_derivatives*
  - __Type__: *boolean*
  - __Description__: *Save the derivative JSON file generated by MRIQC algorithm.
  - __Note__: The metrics produced in this document are saved as custom metadata to
  the input file regardless of whether this JSON is saved.
  - __Default__: *false*

### Outputs

#### Files

- *Report*
  - __Description__: *Zipped html archive. Contains .html report and .svg images.*
  - __Notes__: *Archive is viewable in Flywheel.*
  - __Optional__: *False*

- *Derivative JSON*
  - __Description__: *JSON file containing image quality metrics (IQM).*
  - __Notes__: *Only saved when 'save_derivatives' config option set to True.*
  - __Optional__: *True*

#### Metadata

Image quality metrics (IQM) are saved to the input nifti file as Custom
Information fields, located under the "derived.IQM" keys.

### Pre-requisites

#### Prerequisite Metadata

1. __*Modality*__
    - Location: *Information*
    - Level: *File*
    - Note: *Must be MR - Magnetic Resonance*.
    - Note: *Only required when gear is run in "auto-detect" mode*.

1. __*Intent*__
    - Location: *Information.Modality(MR - Magnetic Resonance).Intent*
    - Level: *File*
    - Note: *Must be Structural or Functional*.
    - Note: *Only required when gear is run in "auto-detect" mode*.

1. __*Measurement*__
    - Location: *Information.Modality(MR - Magnetic Resonance).Measurement*
    - Level: *File*
    - Note: *Only required when gear is run in "auto-detect" mode*.

            

Raw data

            {
    "_id": null,
    "home_page": "https://gitlab.com/flywheel-io/scientific-solutions/gears/mriqc",
    "name": "fw-gear-mriqc",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.8",
    "maintainer_email": null,
    "keywords": "Flywheel, Gears",
    "author": "Flywheel",
    "author_email": "support@flywheel.io",
    "download_url": null,
    "platform": null,
    "description": "<!-- markdownlint-disable-file MD041 -->\n[![Docker Pulls](https://img.shields.io/docker/pulls/flywheel/mriqc.svg)](https://hub.docker.com/r/flywheel/mriqc/)\n[![Docker Stars](https://img.shields.io/docker/stars/flywheel/mriqc.svg)](https://hub.docker.com/r/flywheel/mriqc/)\n\n# MRIQC Gear\n\n## Overview\n\n### Summary\n\n*Image quality metrics for quality assessment of MRI. For more information\nsee [MRIQC's documentation](http://mriqc.readthedocs.io).*\n\n### Cite\n\n*Esteban O, Birman D, Schaer M, Koyejo OO, Poldrack RA, Gorgolewski KJ; MRIQC:\nAdvancing the Automatic Prediction of Image Quality in MRI from Unseen Sites;\nPLOS ONE 12(9):e0184661; doi:10.1371/journal.pone.0184661.*\n\n### License\n\n*License:* *BSD-3-Clause*\n\n### Classification\n\n*Category:* *QA (Utility)*\n\n*Gear Level:*\n\n- [ ] Project\n- [ ] Subject\n- [ ] Session\n- [x] Acquisition\n- [ ] Analysis\n\n----\n\n[[*TOC*]]\n\n----\n\n### Inputs\n\n- *nifti*\n  - __Type__: *NIfTI file (.nii, .nii.gz)*\n  - __Optional__: *False*\n  - __Description__: *MRI NIfTI file. Input can be a structural image (T1, T2) or a\n  functional NIfTI file.*\n  - __Notes__: *Intent and Measurement classification fields must be present in the\n  input metadata for 'auto-detect' mode to work.*\n\n### Config\n\n- *debug*\n  - __Type__: *boolean*\n  - __Description__: *Log debug messages*\n  - __Default__: *False*\n\n- *measurement*\n  - __Type__: *\"enum\": [\"auto-detect\", \"functional\", \"T1\", \"T2\"]*\n  - __Description__: *Measurement of the input image. Note: for \"auto-detect\" mode to work,\n  the input niftimust have the Intent and Measurement classification fields present in\n  its metadata.*\n  - __Default__: *\"auto-detect\"*\n\n- *verbose_reports*\n  - __Type__: *boolean*\n  - __Description__: *Produce [verbose report outputs](https://mriqc.readthedocs.io/en/latest/reports/smri.html#verbose-reports).*\n  - __Default__: *False*\n\n- *include_rating_widget*\n  - __Type__: *boolean*\n  - __Description__: *Include the MRIQC built-in rating widget (does not function in flywheel).*\n  - __Default__: *False*\n\n- *tag*\n  - __Type__: *string*\n  - __Description__: *Tag to add to the input file.*\n  - __Default__: *mriqc*\n\n- *save_derivatives*\n  - __Type__: *boolean*\n  - __Description__: *Save the derivative JSON file generated by MRIQC algorithm.\n  - __Note__: The metrics produced in this document are saved as custom metadata to\n  the input file regardless of whether this JSON is saved.\n  - __Default__: *false*\n\n### Outputs\n\n#### Files\n\n- *Report*\n  - __Description__: *Zipped html archive. Contains .html report and .svg images.*\n  - __Notes__: *Archive is viewable in Flywheel.*\n  - __Optional__: *False*\n\n- *Derivative JSON*\n  - __Description__: *JSON file containing image quality metrics (IQM).*\n  - __Notes__: *Only saved when 'save_derivatives' config option set to True.*\n  - __Optional__: *True*\n\n#### Metadata\n\nImage quality metrics (IQM) are saved to the input nifti file as Custom\nInformation fields, located under the \"derived.IQM\" keys.\n\n### Pre-requisites\n\n#### Prerequisite Metadata\n\n1. __*Modality*__\n    - Location: *Information*\n    - Level: *File*\n    - Note: *Must be MR - Magnetic Resonance*.\n    - Note: *Only required when gear is run in \"auto-detect\" mode*.\n\n1. __*Intent*__\n    - Location: *Information.Modality(MR - Magnetic Resonance).Intent*\n    - Level: *File*\n    - Note: *Must be Structural or Functional*.\n    - Note: *Only required when gear is run in \"auto-detect\" mode*.\n\n1. __*Measurement*__\n    - Location: *Information.Modality(MR - Magnetic Resonance).Measurement*\n    - Level: *File*\n    - Note: *Only required when gear is run in \"auto-detect\" mode*.\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Image quality metrics for quality assessment of MRI",
    "version": "0.9.0",
    "project_urls": {
        "Homepage": "https://gitlab.com/flywheel-io/scientific-solutions/gears/mriqc",
        "Repository": "https://gitlab.com/flywheel-io/scientific-solutions/gears/mriqc"
    },
    "split_keywords": [
        "flywheel",
        " gears"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "bb49f88476269ae2c7e153d8c4bfda84a1ed01841b251238de569830adda68c0",
                "md5": "33f40a736143c972df5e5d5fe0c74b9c",
                "sha256": "bbd10b12b0e6a03918a3253a7c3194f61b24c3ee1ee1d2a1250b6ee05f3f605d"
            },
            "downloads": -1,
            "filename": "fw_gear_mriqc-0.9.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "33f40a736143c972df5e5d5fe0c74b9c",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.8",
            "size": 10914,
            "upload_time": "2024-11-18T15:02:44",
            "upload_time_iso_8601": "2024-11-18T15:02:44.227315Z",
            "url": "https://files.pythonhosted.org/packages/bb/49/f88476269ae2c7e153d8c4bfda84a1ed01841b251238de569830adda68c0/fw_gear_mriqc-0.9.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-11-18 15:02:44",
    "github": false,
    "gitlab": true,
    "bitbucket": false,
    "codeberg": false,
    "gitlab_user": "flywheel-io",
    "gitlab_project": "scientific-solutions",
    "lcname": "fw-gear-mriqc"
}
        
Elapsed time: 7.64507s