MRICloud Pipeline
=================

**Runner:** ``pyasl.pipelines.asl_mricloud_pipeline.run_mricloud_pipeline``

**Purpose.** Execute MRICloud-style ASL processing using a simple ``steps`` list
(average label/control, M0, CBF/ATT, coregistration to MPR, ROI stats, etc.).

Inputs
------

- ``root``: dataset root containing **BIDS-like** folders and metadata read by
  ``read_data_description(root)`` (e.g., PLD list, ASLContext, labeling type).
- ``config_path``: YAML file with ``steps:`` entries.

YAML Schema
-----------

Each item:

- ``name`` (required): one of

  ``MRICloudRescale``, ``Realign``, ``MRICloudCalculateDiffmap``,
  ``MRICloudCalculateM0``, ``MRICloudCalculateCBF``,
  ``MRICloudMultidelayCalculateM0``, ``MRICloudMultidelayCalculateCBFATT``,
  ``MRICloudReadMPR``, ``MRICloudCoregMPR``, ``MRICloudT1ROICBFAverage``.

- ``params`` (optional): module-specific options (see each module page).

Example
-------

.. code-block:: yaml

    type: mricloud
    steps:
      - name: MRICloudRescale
      - name: Realign
      - name: MRICloudCalculateDiffmap
      - name: MRICloudCalculateM0
        params: { t1_tissue: 1165, bgs_eff: 0.93 }
      - name: MRICloudCalculateCBF
        params: { t1_blood: 1650, part_coef: 0.9 }
      - name: MRICloudReadMPR
      - name: MRICloudCoregMPR
      - name: MRICloudT1ROICBFAverage