Projects:AFibSegmentationRegistration - Revision history

Ygao at 00:55, 16 November 2013

2013-11-16T00:55:28Z

2013-06-07T14:44:27Z

Method

2012-01-12T21:59:59Z

Slicer Module for Endocardium Segmentation

2012-01-12T21:59:27Z

Slicer Module for Endocardium Segmentation

2012-01-12T21:56:50Z

Results

2012-01-12T21:56:19Z

Publications

2012-01-12T21:55:44Z

Slicer Module for Endocardium Segmentation

2012-01-12T18:36:30Z

Results

2012-01-12T18:35:47Z

Slicer Module

2012-01-12T18:35:04Z

Slicer Module for Wall Segmentation

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-  Back to [[Algorithm:BU|Boston University Algorithms]]
+  Back to [[Algorithm:Stony Brook|Stony Brook University Algorithms]]
 __NOTOC__
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← Older revision		Revision as of 14:44, 7 June 2013
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	== Method ==		== Method ==
		+
		+	See details at:
		+	[[SegmentationAidedRegistration]]

	== Slicer Module ==		== Slicer Module ==

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 <gallery>
-Image:AFibEndoSegAtlasAndRSS_axial.png|Axial view of segmentation result. Red contour: manual segmentation; Green mask: automatic segmentation
+Image:AFibEndoSegAtlasAndRSS_axial.png|Figure E1. Axial view of segmentation result. Red contour: manual segmentation; Green mask: automatic segmentation
-Image:AFibEndoSegAtlasAndRSS_sagittal.png|Sagittal view
+Image:AFibEndoSegAtlasAndRSS_sagittal.png|Figure E2. Sagittal view
-Image:AFibEndoSegAtlasAndRSS_coronal.png|Coronal view
+Image:AFibEndoSegAtlasAndRSS_coronal.png|Figure E3. Coronal view
 </gallery>

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 === Slicer Module for Endocardium Segmentation ===
-We extract the left atrium endocardium region (blood pool) from the DEMRI image using a multi-atlas based scheme.
+We extract the left atrium endocardium region (blood pool) from the DEMRI image using a multi-atlas based scheme. In Figure E1, Figure E2, and Figure E3 below, we show the current segmentation results.
 <gallery>

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 Image:AFibLongitudinalRegistration-txt.png|Figure R3. The left-atrium overlay on the registered post-op MRI (registered to the pre-op MRI)
 </gallery>
 = Publications =

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 == Results ==
-In the left image below, the manual segmentation of the endo-cardium is overlaid on the pre-op MRI.
+In the left image below (Figure R2), the manual segmentation of the endo-cardium is overlaid on the pre-op MRI. In the right image below (Figure R3), the same manual segmentation of the endo-cardium (of the pre-op MRI) is overlaid on the registered post-op MRI. This shows the registration accuracy around the endo-cardium region, which is the region of interest.
 <gallery>
-Image:AFibLongitudinalRegistration-PreOP-text.png|The left-atrium overlay on pre-op MRI
+Image:AFibLongitudinalRegistration-PreOP-text.png|Figure R2. The left-atrium overlay on pre-op MRI
-Image:AFibLongitudinalRegistration-txt.png|The left-atrium overlay on the registered post-op MRI (registered to the pre-op MRI)
+Image:AFibLongitudinalRegistration-txt.png|Figure R3. The left-atrium overlay on the registered post-op MRI (registered to the pre-op MRI)
 </gallery>

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 == Slicer Module ==
-The registration is delivered as a Extension module for Slicer3. It can be installed from the Extension manager. Below is an image showing the GUI of the module. We need to feed the pre/post-MRI and pre/post-Endocardium images. The module then compute the registration from the post-op MRI to the pre-op MRI.
+The registration is delivered as a Extension module for Slicer3. It can be installed from the Extension manager. Below in Figure R1 we show the GUI of the module. We need to feed the pre/post-MRI and pre/post-Endocardium images. The module then compute the registration from the post-op MRI to the pre-op MRI.
 <gallery>
-Image:AFibLongitudinalRegGUI.png|registration GUI in Slicer3 Extension manager
+Image:AFibLongitudinalRegGUI.png|Figure R1. registration GUI in Slicer3 Extension manager
 </gallery>

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 With the endocardiac region having been segmented, we further extract the LA muscle wall by using the coupled surface evolution technique. This algorithm is now implemented as a Slicer module.
-The module can be installed from the extension manage (Figure 1.). After that, the module can be found in the Segmentation module category. Its usage is shown in Figure 2. When the computation is done, one of the results is shown in Figure 3.
+The module can be installed from the extension manage (Figure S1). After that, the module can be found in the Segmentation module category. Its usage is shown in Figure S2. When the computation is done, one of the results is shown in Figure S3.
 <gallery>
-Image:WallSegmenterInstall.png|Figure 1. Install the module from the Extension manager
+Image:WallSegmenterInstall.png|Figure S1. Install the module from the Extension manager
-Image:WallSegmenterUse.png|Figure 2. Using the module
+Image:WallSegmenterUse.png|Figure S2. Using the module
-Image:LAwallSegmenterResult.png| Figure 3. The segmentation result of the wall
+Image:LAwallSegmenterResult.png| Figure S3. The segmentation result of the wall
 </gallery>