ENH: registrar/segmenter factories, Tutorial 00 - #145
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- tutorials/parameters_*.py: replace raw greedy-iteration fields with registration_class + registrar()/segmenter() factory methods that return a ready-tuned registrar/segmenter per anatomy - Update lung/heart tutorials (01-13) to use the new factories instead of constructing RegisterImagesGreedy/segmenters by hand - Add tutorials/tutorial_00_lung_demo.ipynb: self-contained demo that downloads Chest-CT and a pretrained PhysicsNeMo-MGN-Lung-Motion checkpoint and predicts lung motion end-to-end with no prior tutorial run - process_transforms.py/workflow_infer_movement.py: add restrict_deformation_field_to_normal_falloff_outside_mask for the cardiac/respiratory slip-interface split used by Tutorial 13 - workflow_convert_vtk_to_usd.py: fix mesh-path lookup to use the sanitized data_basename instead of the raw usd_project_name - Document Tutorial 00 in docs/index.rst, docs/tutorials.rst, and tutorials/README.md; fix Tutorial 3's stale RegisterImagesGreedy() snippet - pyproject.toml: drop two dangling tutorial_08/09_lung_all mypy override entries with no matching files
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WalkthroughThe PR adds normal-direction deformation falloff, centralizes tutorial segmentation and registration setup, adds Tutorial 00 documentation, updates tutorial scripts, and fixes sanitized USD root-prim lookup. ChangesMotion processing and workflow integration
Tutorial configuration and documentation
Priority: ➖ Normal Estimated code review effort: 4 (Complex) | ~60 minutes Change: Feature Sequence Diagram(s)sequenceDiagram
participant Tutorial
participant WorkflowInferMovement
participant ProcessTransforms
participant USDExporter
Tutorial->>WorkflowInferMovement: process_time_series with exterior mask
WorkflowInferMovement->>ProcessTransforms: smooth field and normals
ProcessTransforms-->>WorkflowInferMovement: normal-restricted transform with falloff
WorkflowInferMovement->>USDExporter: export motion result
Merge Risk: 🟡 Moderate · up to Custom deformation settings can generate incorrect motion fields, and existing tutorial caches can silently reuse labels from the replaced segmenter. Resolve these issues before merging; the documentation corrections should also be included so Tutorial 00 remains runnable as described. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Inline comments:
In `@docs/tutorials.rst`:
- Around line 311-313: Update the model_dir adaptation guidance near the
Tutorial 9 reference to apply only to compatible lung checkpoints, or document
that pca_model.json and pca_mean_surface.vtp must be present and that the lung
segmenter and anatomy_type configuration must also change for another anatomy.
In `@src/monai_physio/process_transforms.py`:
- Around line 844-845: In the transform calculation before the direction and
falloff ramps, validate direction_offset_mm is finite and require
direction_transition_mm and falloff_distance_mm to be finite and greater than
zero; raise ValueError for invalid inputs, then preserve the existing ramp
calculations using the validated widths.
- Around line 816-820: Update the grid validation around the normals and mask
shape check to compare size, spacing, origin, and direction metadata for
normal_image and mask against field, not just array shapes. Reject any mismatch
before applying the mask or computing distances, while preserving the existing
ValueError behavior and diagnostic context.
In `@tutorials/README.md`:
- Line 28: Update the “Running a Tutorial” section in tutorials/README.md to
distinguish tutorial_00_lung_demo.ipynb as a Jupyter notebook, and document the
appropriate jupyter notebook command for launching it while preserving the
existing Python-script instructions for the other tutorials.
In `@tutorials/tutorial_02_lung_distancemap_finetune_icon.py`:
- Line 168: Update the cache-key or cache-invalidation logic for Segmenter
usage: in tutorials/tutorial_02_lung_distancemap_finetune_icon.py at lines
168-168, invalidate stale distance-map and lung-labelmap caches when the backend
changes; in tutorials/tutorial_02_lung_finetune_icon.py at lines 240-240,
invalidate stale labelmap caches. Include segmenter provenance in the relevant
keys or clear the old cache directories before reuse.
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⛔ Files ignored due to path filters (1)
docs/assets/tutorial_00_lung_usd.gifis excluded by!**/*.gif
📒 Files selected for processing (30)
docs/index.rstdocs/tutorials.rstsrc/monai_physio/process_transforms.pysrc/monai_physio/workflow_convert_vtk_to_usd.pysrc/monai_physio/workflow_infer_movement.pytests/test_process_transforms.pytests/test_workflow_convert_vtk_to_usd.pytutorials/README.mdtutorials/parameters_duke_heart_labelmaps.pytutorials/parameters_heart_ct_kcl.pytutorials/parameters_lung_ct_dirlab.pytutorials/parameters_tcia_4d_lung.pytutorials/tutorial_00_lung_demo.ipynbtutorials/tutorial_01_heart_gated_ct_to_usd.pytutorials/tutorial_01_lung_gated_ct_to_usd.pytutorials/tutorial_01_lung_gated_ct_to_usd_tetmesh.pytutorials/tutorial_02_duke_heart_distancemap_finetune_icon.pytutorials/tutorial_02_lung_distancemap_finetune_icon.pytutorials/tutorial_02_lung_finetune_icon.pytutorials/tutorial_03_heart_reconstruct_highres_4d_ct.pytutorials/tutorial_03_lung_reconstruct_highres_4d_ct.pytutorials/tutorial_04_heart_ct_to_vtk.pytutorials/tutorial_04_lung_ct_to_vtk.pytutorials/tutorial_06_lung_create_statistical_model.pytutorials/tutorial_07_heart_fit_statistical_model_to_patient.pytutorials/tutorial_07_lung_fit_statistical_model_to_patient.pytutorials/tutorial_08_lung_fit_model_to_4d_patients.pytutorials/tutorial_10_lung_infer_physicsnemo_mgn.pytutorials/tutorial_12_lung_end_to_end_inference.pytutorials/tutorial_13_heart_and_lung_motion.py
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Summary by CodeRabbit
New Features
Bug Fixes
Documentation