MRdataset : unified interface to various neuroimaging dataset formats
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
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)
| File | Size | Uploaded | |
|---|---|---|---|
| mrdataset-0.4.4.tar.gz | 3.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-httpx/0.23.3
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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
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-httpx/0.23.3
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