NA-MIC Project Weeks

Back to Projects List

Create Agatston Cardiac Scoring Module

Key Investigators

Curtis Lisle (KnowledgeVis, USA)
Andras Lasso (Queens University, Canada)

Presenter location: In-person

Project Description

The algorithm for calculating Agatston Cardiac scoring (a clinical way to measure arterial occlusion around the heart) was previously written for an older version of Slicer by Jans Johnson and Jessica Forbes. Andras updated the algorithm and his script was recently tested by members of the community. This clinical module would be more useful if a Slicer Extension is build so the Agatston scoring is available for clinicians. This project is a start to creating a Slicer Extension.

Objective

Objective A. Describe what you plan to achieve in 1-2 sentences. Start construction a Slicer Extension to run the existing Agatston scoring algorithm.

Approach and Plan

- Create an Extension stub using the Extension Wizard
- Refactor the Python code to fit in the extension
- Update the GUI elements and description to guide the user in preparing data
- Test the Extension
- Work with the Slicer core community to publish the Agatston Cardiac Scoring Extension

Progress and Next Steps

- Reviewed existing algorithm and Andras re-written version
- Acquired reference cardiac scan with corresponding Agatston score for testing
- Extension Wizard was easy to get started, though comment text and acknowledgement text entered in the GUI was lost
- **there is still a runtime error, but we are close**

Illustrations

Below is the module interface with the debugging buttons from the Extension Wizard still showing. A sample image is loaded GUI-Image

Background and References

Sample Masked Image as input: https://github.com/lassoan/PublicTestingData/releases/download/data/CardiacAgatstonScore.mrb

Existing Algorithm to refactor: https://github.com/BRAINSia/CardiacAgatstonMeasures

Andras’ updated algorithm on GIST: https://gist.github.com/lassoan/d85be45b7284a3b4e580688fccdb1d02

A recent update to interpreting Agatston scoring: https://pubs.rsna.org/doi/10.1148/ryct.2021200484