PhysioMotion4D 2026.05.9

PhysioMotion4D 2026.05.9

This release expands Bring Your Own Data workflows, generalizes image conversion beyond CT-specific naming, adds new segmentation and registration options, introduces a PhysicsNeMo tutorial, and improves release/docs maintenance.

Highlights

• Added BYOD DICOM, medical image, and VTK-to-USD tutorial documentation for 3D and 4D workflows.
• Added physiomotion4d-download-data CLI documentation and clearer demo data download guidance.
• Generalized CT-specific APIs and CLIs to image-oriented names:
  • WorkflowConvertImageToVTK
  • WorkflowConvertImageToUSD
  • physiomotion4d-convert-image-to-vtk
  • physiomotion4d-convert-image-to-usd
• Added ConvertImage4DTo3D support for vector 3D and 4D image inputs, with improved DICOM handling.
• Added HeartSimplewareTrimmedBranches as an explicit segmentation option for KCL heart model workflows.
• Added RegisterImagesICON.finetune() for cohort fine-tuning of UniGradICON weights.
• Added initial PhysicsNeMo tutorial support for mesh stage prediction.
• Improved docs navigation, clinical-use notices, version display, and tutorial/index pages.
• Updated bumpver configuration so version bumps no longer create local commits or tags automatically.

Breaking Or Behavior Changes

• Renamed CT-specific workflow/CLI surfaces to image-oriented names.
• Backend identifiers are now explicit documented values such as ChestTotalSegmentator, HeartSimpleware, HeartSimplewareTrimmedBranches, ANTS, and ICON.
• HeartSimpleware no longer implicitly trims branches. Use HeartSimplewareTrimmedBranches when trimmed branch behavior is required.

Testing And CI

• Added opt-in pytest flags for slow, GPU, Simpleware, experiment, and tutorial test buckets.
• Removed the old requires_data marker pattern; tests now use session fixtures that download required data.
• Updated GPU and slow-test workflows to pass the appropriate opt-in flags.
• Added workflow tests for segmentation dispatch and trimmed-branch defaults.