Projects:TubularSurfaceSegmentation - Revision history

Ygao at 01:02, 16 November 2013

2013-11-16T01:02:18Z

Ygao at 16:10, 12 January 2012

2012-01-12T16:10:50Z

Marianna at 17:25, 14 May 2010

2010-05-14T17:25:01Z

Marianna at 17:11, 14 May 2010

2010-05-14T17:11:59Z

Marianna: /* Publications */

2010-05-14T13:12:20Z

Publications

Marianna at 18:48, 11 May 2010

2010-05-11T18:48:45Z

Kikinis: /* Publications */

2010-05-11T12:26:20Z

Publications

Kikinis: /* Publications */

2010-05-11T12:17:23Z

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Kikinis: /* Publications */

2010-05-11T12:16:18Z

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Kikinis: /* Publications */

2010-05-11T12:15:48Z

Publications

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-  Back to [[NA-MIC_Internal_Collaborations:StructuralImageAnalysis|NA-MIC Collaborations]], [[Algorithm:BU|Boston University Algorithms]], [[Engineering:Kitware|Kitware Engineering]]
+  Back to [[NA-MIC_Internal_Collaborations:StructuralImageAnalysis|NA-MIC Collaborations]], [[Algorithm:Stony Brook|Stony Brook University Algorithms]], [[Engineering:Kitware|Kitware Engineering]]
 __NOTOC__
 = Tubular Surface Segmentation Framework =

@@ Line 1: / Line 1: @@
-  Back to [[NA-MIC_Internal_Collaborations:StructuralImageAnalysis|NA-MIC Collaborations]], [[Algorithm:GATech|Georgia Tech Algorithms]], [[Engineering:Kitware|Kitware Engineering]]
+  Back to [[NA-MIC_Internal_Collaborations:StructuralImageAnalysis|NA-MIC Collaborations]], [[Algorithm:BU|Boston University Algorithms]], [[Engineering:Kitware|Kitware Engineering]]
 __NOTOC__
 = Tubular Surface Segmentation Framework =

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 = Description =
-We have proposed a new model for tubular surfaces that represents a tubular surface as a center-line with a radius function associated with every point of the center-line. This transforms the problem of detecting a surface in 3D space, to detecting a curve in 4D space. Besides allowing us to impose a "soft" tubular shape prior, this also leads to computational efficiency over conventional surface segmentation approaches. We have also developed the moving end points implementation of this framework wherein the required input is only a few points in the interior of the structure of interest. This yields the additional advantage that the framework simulatenously returns both the 3D segmentation and the 3D skeleton of the structure eliminating the need for apriori knowledge of end points, and an expensive skeletonization step. The framework is applicable to different tubular anatomical structures in the body. We have so far applied it successfully to the Cingulum Bundle, and blood vessels.
+We have proposed a new model for tubular surfaces that represents a tubular surface as a center-line with a radius function associated with every point of the center-line. This transforms the problem of detecting a surface in 3D space, to detecting a curve in 4D space. Besides allowing us to impose a "soft" tubular shape prior, this also leads to computational efficiency over conventional surface segmentation approaches. We have also developed the moving end points implementation of this framework wherein the required input is only a few points in the interior of the structure of interest. This yields the additional advantage that the framework simultaneously returns both the 3D segmentation and the 3D skeleton of the structure eliminating the need for a priori knowledge of end points, and an expensive skeletonization step. The framework is applicable to different tubular anatomical structures in the body. We have so far applied it successfully to the Cingulum Bundle, and blood vessels.
 == Some Results ==
-* [[Image:GTTubSurfaceSeg-Img1.png | 3D visualization of CB segmentation| 300px]] 3D visualization of CB segmentation
+<gallery  widths="150px" perrow="5" >
-* [[Image:GTTubSurfaceSeg-Slice_Img1.png | Slice-wise view of CB Segmentation result | 300px]] Slice-wise view of CB Segmentation result
+Image:GTTubSurfaceSeg-Img1.png|3D visualization of CB segmentation
-* [[Image:GTTubSurfaceSeg-Slice_Img2.png | Slice-wise view of CB Segmentation result | 300px]] Slice-wise view of CB Segmentation result
+Image:GTTubSurfaceSeg-Slice_Img1.png |Slice-wise view of CB Segmentation result
-* [[Image:GT-VesselSegByTubSeg-ResultIn3D-1.jpg | 3D visualization of vessel segmentation | 300px]] 3D View of vessel segmentation result: initial volume (blue), segmentation result (red), extracted center-line (green)
+Image:GTTubSurfaceSeg-Slice_Img2.png |Slice-wise view of CB Segmentation result
-* [[Image:GT-VesselSegByTubSeg-ResultSliceView-1.jpg | Slice-wise visualization of vessel segmentation | 300px]] Slice-wise view of vessel segmentation result: segmentation result (green) and extracted center-line (red) superimposed on CTA image data
+Image:GT-VesselSegByTubSeg-ResultIn3D-1.jpg  | View of vessel segmentation result: initial volume (blue), segmentation result (red), extracted center-line (green)
 == Project Status ==

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 = Publications =
-''In Print''
-* [http://www.na-mic.org/publications/pages/display?search=Projects%3ATubularSurfaceSegmentation| NA-MIC Publications Database content on tubular surface segmentation]
+* [http://www.na-mic.org/publications/pages/display?search=Projects%3ATubularSurfaceSegmentation NA-MIC Publications Database content on tubular surface segmentation]
 ''In Press''
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- Project Week Results: [[2009_Summer_Project_Week_TubularSurfaceSeg|June 2009]]
+Project Week Results: [[2009_Summer_Project_Week_TubularSurfaceSeg|June 2009]]
 [[Category: Segmentation]] [[Category:MRI]] [[Category:Slicer]]

← Older revision		Revision as of 13:12, 14 May 2010
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	''In Press''		''In Press''
−	*V. ~~Mohan~~, G. ~~Sundaramoorthi and~~ A~~. Tannenbaum~~. Tubular Surface Segmentation for Extracting Anatomical Structures from Medical Imagery (in review). IEEE Transactions on Medical Imaging (2010) [http://www.na-mic.org/publications/item/view/1842 (see here).]	+	*Mohan V., Sundaramoorthi G., Tannenbaum A. Tubular Surface Segmentation for Extracting Anatomical Structures from Medical Imagery. IEEE Transactions in Medical Imaging (in review). IEEE Transactions on Medical Imaging (2010) [http://www.na-mic.org/publications/item/view/1842 (see here).]

← Older revision		Revision as of 12:17, 11 May 2010
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	''In Press''		''In Press''

−	V. Mohan, G. Sundaramoorthi and A. Tannenbaum. Tubular Surface Segmentation for Extracting Anatomical Structures from Medical Imagery (in review) IEEE Transactions on Medical Imaging (2010).[http://www.na-mic.org/publications/item/view/1842 (see here).]	+	V. Mohan, G. Sundaramoorthi and A. Tannenbaum. Tubular Surface Segmentation for Extracting Anatomical Structures from Medical Imagery (in review). IEEE Transactions on Medical Imaging (2010) [http://www.na-mic.org/publications/item/view/1842 (see here).]

← Older revision		Revision as of 12:16, 11 May 2010
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	''In Press''		''In Press''

−	V. Mohan, G. Sundaramoorthi and A. Tannenbaum. Tubular Surface Segmentation for Extracting Anatomical Structures from Medical Imagery (in review). IEEE Transactions on Medical Imaging (2010).[http://www.na-mic.org/publications/item/view/1842 see here]	+	V. Mohan, G. Sundaramoorthi and A. Tannenbaum. Tubular Surface Segmentation for Extracting Anatomical Structures from Medical Imagery (in review) IEEE Transactions on Medical Imaging (2010).[http://www.na-mic.org/publications/item/view/1842 (see here).]

← Older revision		Revision as of 12:15, 11 May 2010
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	''In Press''		''In Press''

−	V. Mohan, G. Sundaramoorthi and A. Tannenbaum. Tubular Surface Segmentation for Extracting Anatomical Structures from Medical Imagery (in review). IEEE Transactions on Medical Imaging (2010).	+	V. Mohan, G. Sundaramoorthi and A. Tannenbaum. Tubular Surface Segmentation for Extracting Anatomical Structures from Medical Imagery (in review). IEEE Transactions on Medical Imaging (2010).[http://www.na-mic.org/publications/item/view/1842 see here]