Difference between revisions of "2013 Project Week:CARMA PractialLASeg"

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Salma Bengali, Greg Gardner, Alan Morris, Josh Cates, Rob MacLeod
 
Salma Bengali, Greg Gardner, Alan Morris, Josh Cates, Rob MacLeod
  
[[File:TBD|thumb|center|IMAGE PLACEHOLDER]]
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[[File:CarmaWorkflowSlide.png|thumb|center|Workflow Overview]]
  
 
Automatic segmenation of the left atrium (LA) from LGE-MRI images continues to be challenging to automate. Recent work by Ross and Gopal looks promising, but will require further validation and some significant work to implement in Slicer in a useful format for CARMA technicians.  In the meantime, we propose to explore some new approaches to a semi-automated segmentation, with the goal of reducing the necessary time for the manual process.
 
Automatic segmenation of the left atrium (LA) from LGE-MRI images continues to be challenging to automate. Recent work by Ross and Gopal looks promising, but will require further validation and some significant work to implement in Slicer in a useful format for CARMA technicians.  In the meantime, we propose to explore some new approaches to a semi-automated segmentation, with the goal of reducing the necessary time for the manual process.

Revision as of 07:17, 10 January 2013

Home < 2013 Project Week:CARMA PractialLASeg

Key Investigators

Salma Bengali, Greg Gardner, Alan Morris, Josh Cates, Rob MacLeod

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Workflow Overview

Automatic segmenation of the left atrium (LA) from LGE-MRI images continues to be challenging to automate. Recent work by Ross and Gopal looks promising, but will require further validation and some significant work to implement in Slicer in a useful format for CARMA technicians. In the meantime, we propose to explore some new approaches to a semi-automated segmentation, with the goal of reducing the necessary time for the manual process.

CARMA has recently begun to acquire fully gated MRA images, along with the LGE-MRI protocol. Gated MRA can produce much sharper blood pool boundaries (LA endocardium) than standard, 1-pass MRA and may prove valuable for localizing endocardial contours.

Objective

The objective of this project is to collaboratively brainstorm and (ideally) implement a semi-automated LA segmentation workflow (wizard?) within slicer. We plan to take advantage of available Slicer experts and provide a wish list to Slicer engineers of any missing pieces -- or nice to have features -- necessary for our proposed workflow.

Approach, Plan

  1. Explore the use of Slicer to perform semi-automated segmentation of the LA Endocardium using gated MRA aligned with LGE-MRI
  2. Identify missing segmentation tools that may be useful in a proposed segmentation workflow (e.g. 3D editing?)
  3. Plan (or implement if time permits) a workflow (wizard) within CARMA based on what we learn from objectives 1-2

Progress