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Mapping and Visualizing a Segmented Placenta to a Canonical Template

Key Investigators

• Mazdak Abulnaga (MIT)
• Danielle Pace (MIT)
• Steve Pieper (Isomics)
• Justin Solomon (MIT)
• Polina Golland (MIT)

Project Description

The project seeks to flattened images of the placenta for visualization. Segemented placenta are mapped to a canonical template such as an ellipsoid for visualization of anatomy and function. We aim to build a module in Slicer to establish correspondence between the original volume and the flattened one.

Objective

• 1. Map the segmented placenta with minimal distortion.
• 2. Map the grayscale intensity from the original volume to the flattened volume.
• 3. Build the visualization module in Slicer. Objective is to be able to click on a location in the original volume and automatically move the cursor on the flattened volume.

Approach and Plan

Progress and Next Steps

• Created a few test transformations and generated the appropriate displacement fields.
• Saved the displacement fields as NRRD files and successfully loaded them into Slicer.
• Identified bugs in the transformation, it seems there is an inherent rotation that Slicer is unaware of so the field does not apply correctly.

Next Steps:

• Rotation on simple test cases
• Rotation on transformed volumes
• Develop visualization module

Illustrations

Background and References