Difference between revisions of "2013 Summer Project Week:CARMA AutoLASeg"

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Revision as of 17:47, 4 June 2013

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

  1. 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.

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