2013 Summer Project Week:CARMA AutoLASeg

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Home < 2013 Summer Project Week:CARMA AutoLASeg

Key Investigators

  • Utah: Salma Bengali, Alan Morris, Josh Cates, Gopal Veni, Ross Whitaker, Rob MacLeod
Automated LA Segmentation

Objective

The goal of this project is to implement Gopal and Ross' segmentation method: "Left atrial wall segmentation using intensity profile based feature detector and optimal graph-cuts." Our objective is to implement this method in Slicer. There are several fairly involved steps for the entire segmentation process, including:

  1. An LA shape model building phase
  2. User input to identify the center of a region of interest
  3. Computation of the segmentation, given a new LGE-MRI image
  4. Surface reconstruction of the output point set and (optionally) scan-conversion of the surface mesh to a binary segmentation volume.

Approach, Plan

We plan to implement this algorithm as a Slicer command-line module.

Progress

This module has been nearly completed, and we need to improve the visualization of the final isosurface of the left atrium. We also need to find a way to store and access (through Slicer) a large amount of training model data.

Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a Slicer module as part of the existing Cardiac MRI Toolkit extension.

References

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