Skip to main content

MRdataset : unified interface to various neuroimaging dataset formats

https://img.shields.io/pypi/v/MRdataset.svg https://app.codacy.com/project/badge/Grade/4e6e129acb3340e3b422541be3924a90 https://github.com/sinhaharsh/MRdataset/actions/workflows/continuous-integration.yml/badge.svg ./docs/images/hierarchy.jpg

Description

  • Provides a unified interface for horizontal and vertical traversal of various neuroimaging datasets (DICOM) and any other generic format etc.

  • Ensures that the DICOM files are valid imaging DICOMs and provides the option to skip phantoms, localizer, head scouts etc.

  • Provides flexibility to ignore automatically generated derived scans such as MoCo series, Single-band references, perfusion weighted scans.

  • Verifies if each DICOM slice belongs to the same scan volume and, then subsequently organizes all scans are hierarchical fashion (Subject > Session > Sequence > Run)

  • Identifies sequences acquired within the same session, which is especially useful for associating field maps with their corresponding functional (EPI) scans.

Documentation

https://open-minds-lab.github.io/MRdataset/

Metadata

Release files for MRdataset 0.4.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for MRdataset 0.4.4
File Size Uploaded
mrdataset-0.4.4.tar.gz 3.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for MRdataset 0.4.4
File Interpreter ABI Platform
mrdataset-0.4.4-py3-none-any.whl Python 3 none any Details

Total release size: 72.3 MB

Release files / mrdataset-0.4.4.tar.gz

Download URL mrdataset-0.4.4.tar.gz
Size 3.1 kB
Tags Source
SHA-256 checksum
How to use checksums
6c9cc68499647c3b8353cfe3971ca983d1f7c01410b0200800a838e309ce8338
BLAKE2b-256 checksum
How to use checksums
ba273833d8b5960cec801c76aea3e1d59dcb1865a4d09691ce1c7cd1f0eb36ef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-httpx/0.23.3

Release files / mrdataset-0.4.4-py3-none-any.whl

Download URL mrdataset-0.4.4-py3-none-any.whl
Size 72.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
ebc5f46ce53c62f37bffa8f2d1245a3398916ed9f4c1a3a7ceed8abb235e2c03
BLAKE2b-256 checksum
How to use checksums
7c1f07bffb69bc20989c17b7a01fb5ff508e6fa522d262ca3d829c92ae54b98d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via python-httpx/0.23.3

Release history Release notifications | RSS feed

This release

0.4.4 This release

2 release files

0.4.3

2 release files

0.4.1

2 release files

0.1.6

2 release files

0.1.3

2 release files

0.1.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page