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

From NAMIC Wiki
Jump to: navigation, search
 
(8 intermediate revisions by 3 users not shown)
Line 1: Line 1:
 
__NOTOC__
 
__NOTOC__
 
<gallery>
 
<gallery>
Image:PW-SLC2013.png|[[2012_Winter_Project_Week#Projects|Projects List]]
+
Image:PW-SLC2013.png|[[2013_Winter_Project_Week#Projects|Projects List]]
 
</gallery>
 
</gallery>
  
Line 7: Line 7:
 
Salma Bengali, Greg Gardner, Alan Morris, Josh Cates, Rob MacLeod
 
Salma Bengali, Greg Gardner, Alan Morris, Josh Cates, Rob MacLeod
  
[[File:file_here.png|thumb|center|Image Here]]
+
[[File:CarmaWorkflowSlide.jpeg|thumb|center|Workflow Overview]]
  
* SUMMARY HERE
+
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 (the process is described in [[File:carmaWorkflowV2.pdf | carmaWorkflowV2.pdf]]).
 +
 
 +
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.
  
 
<div style="margin: 20px;">
 
<div style="margin: 20px;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Objective</h3>
 
<h3>Objective</h3>
* Objective 1
+
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.
* Objective 2
 
* etc.
 
 
</div>
 
</div>
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
PLAN HERE
+
# Explore the use of Slicer to perform semi-automated segmentation of the LA Endocardium using gated MRA aligned with LGE-MRI
 +
# Identify missing segmentation tools that may be useful in a proposed segmentation workflow (e.g. 3D editing?)
 +
# Plan (or implement if time permits) a workflow (wizard) within CARMA based on what we learn from objectives 1-2
 +
 
 
</div>
 
</div>
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Progress</h3>
 
<h3>Progress</h3>
* Progress here
+
We decided that the first step will be to create a Slicer tutorial and then map this tutorial into a workflow module.  Work is underway to port some existing CARMA tutorial materials to a Slicer-based tutorial.
 
</div>
 
</div>
 
</div>
 
</div>

Latest revision as of 14:14, 11 January 2013

Home < 2013 Project Week:CARMA PractialLASeg

Key Investigators

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

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 (the process is described in File:CarmaWorkflowV2.pdf).

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

We decided that the first step will be to create a Slicer tutorial and then map this tutorial into a workflow module. Work is underway to port some existing CARMA tutorial materials to a Slicer-based tutorial.