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sinhaharsh committed Jan 24, 2024
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11 changes: 9 additions & 2 deletions README.rst
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Expand Up @@ -14,8 +14,15 @@ MRdataset : unified interface to various neuroimaging datasets

.. image:: ./docs/images/hierarchy.jpg

* A unified interface to various neuroimaging datasets such as DICOM, BIDS and any other generic format etc.
* Documentation: https://open-minds-lab.github.io/MRdataset/
## 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/


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10 changes: 9 additions & 1 deletion docs/index.rst
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Expand Up @@ -13,7 +13,15 @@ MRdataset : unified interface to various neuroimaging datasets

.. image:: ./images/hierarchy.jpg

* A unified interface to various neuroimaging datasets such as DICOM, BIDS and any other generic format etc.
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.

* **Tutorial**: Please refer to the Jupyter Notebook `tutorial`_.
* **Documentation**: https://open-minds-lab.github.io/MRdataset/

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