2013 Project Week:CARMA PractialLASeg - Revision history

Cates: /* Key Investigators */

2013-01-11T14:14:07Z

Key Investigators

2013-01-10T07:30:30Z

2013-01-10T07:27:08Z

2013-01-10T07:23:49Z

2013-01-10T07:22:45Z

2013-01-10T07:22:15Z

2013-01-10T07:17:01Z

2012-12-14T22:16:04Z

2012-12-12T07:12:29Z

Key Investigators

2012-12-11T16:15:29Z

@@ Line 27: / Line 27: @@
 <div style="width: 27%; float: left; padding-right: 3%;">
 <h3>Progress</h3>
+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>

@@ Line 7: / Line 7: @@
 Salma Bengali, Greg Gardner, Alan Morris, Josh Cates, Rob MacLeod
-[[File:CarmaWorkflowSlide.png|thumb|center|Workflow Overview]]
+[[File:CarmaWorkflowSlide.jpeg|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 (the process is described in [[File:carmaWorkflowV2.pdf | carmaWorkflowV2.pdf]]).

@@ Line 9: / Line 9: @@
 [[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 (the process is described in [[File:carmaWorkflowV2.pdf|carmaWorkflowV2.pdf]]).
+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.

@@ Line 9: / Line 9: @@
 [[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 (the process is described in [[file:carmaWorkflowV2.pdf]]).
+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.

@@ Line 9: / Line 9: @@
 [[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 (the process is described in [file:carmaWorkflowV2.pdf].
+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.

@@ Line 1: / Line 1: @@
 __NOTOC__
 <gallery>
-Image:PW-SLC2013.png|[[2012_Winter_Project_Week#Projects|Projects List]]
+Image:PW-SLC2013.png|[[2013_Winter_Project_Week#Projects|Projects List]]
 </gallery>

@@ Line 7: / Line 7: @@
 Salma Bengali, Greg Gardner, Alan Morris, Josh Cates, Rob MacLeod
-[[File:file_here.png|thumb|center|Image Here]]
+[[File:TBD|thumb|center|IMAGE PLACEHOLDER]]
-* 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.
 <div style="margin: 20px;">
 <div style="width: 27%; float: left; padding-right: 3%;">
 <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.
 </div>
 <div style="width: 27%; float: left; padding-right: 3%;">
 <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
 </div>
 <div style="width: 27%; float: left; padding-right: 3%;">
 <h3>Progress</h3>
-* Progress here
 </div>
 </div>

@@ Line 5: / Line 5: @@
 ==Key Investigators==
-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]]