Projects:BloodVesselSegmentation - Revision history

Ygao at 00:58, 16 November 2013

2013-11-16T00:58:33Z

Ygao at 16:16, 12 January 2012

2012-01-12T16:16:08Z

Melonakos: /* Publications */

2010-05-11T19:50:40Z

Publications

Melonakos at 01:52, 26 August 2009

2009-08-26T01:52:42Z

Melonakos at 19:44, 11 July 2009

2009-07-11T19:44:42Z

Slankton: /* Soft Plaque Detection and Segmentation */

2009-03-05T21:25:58Z

Soft Plaque Detection and Segmentation

Vandymohan at 18:05, 10 December 2008

2008-12-10T18:05:02Z

Ponnappan at 02:19, 29 April 2008

2008-04-29T02:19:57Z

Ponnappan at 02:19, 29 April 2008

2008-04-29T02:19:06Z

Ponnappan at 02:07, 29 April 2008

2008-04-29T02:07:33Z

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-  Back to [[Algorithm:BU|Boston University Algorithms]]
+  Back to [[Algorithm:Stony Brook|Stony Brook University Algorithms]]
 __NOTOC__
 = Blood Vessel Segmentation =

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-  Back to [[Algorithm:GATech|Georgia Tech Algorithms]]
+  Back to [[Algorithm:BU|Boston University Algorithms]]
 __NOTOC__
 = Blood Vessel Segmentation =

@@ Line 43: / Line 43: @@
 ''In Print''
-* [http://www.na-mic.org/publications/pages/display?search=BloodVesselSegmentation&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&searchbytag=checked&sponsors=checked| NA-MIC Publications Database]
+* [http://www.na-mic.org/publications/pages/display?search=BloodVesselSegmentation&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&searchbytag=checked&sponsors=checked| NA-MIC Publications Database on Blood Vessel Segmentation]
 [[Category: Segmentation]] [[Category:CT]]

@@ Line 1: / Line 1: @@
-Back to [[Algorithm:GATech|Georgia Tech Algorithms]]
+ Back to [[Algorithm:GATech|Georgia Tech Algorithms]]
 __NOTOC__
 = Blood Vessel Segmentation =

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 [[Image:Fig5yan.PNG | Figure 5]]
-= Soft Plaque Detection and Segmentation =
+''Soft Plaque Detection and Segmentation''
 Recent studies have shown that the soft plaque is more vulnerable to rupture than the hard plaque. Hence it becomes necessary to develop methods to detect and segment the soft plaque automatically. The soft plaque has an intensity that lies between the intensities of the blood lumen and the cardiac muscle, thus making it difficult to be detected using the energy calculated globally.
-= Vessel segmentation using Tubular Surface Extraction framework =
+''Vessel segmentation using Tubular Surface Extraction framework''
 In this work, we are extending the Tubular Surface Extraction framework of Mohan et al towards segmenting vessel structures. The blood vessel is modeled as a tube with a center-line and a radius function associated with each point. Further, the work is also being extended to accomodate evolution of end points. This allows a segmentation framework where a portion of the main branch of the vessel tree can be selected as input and the framework evolves this to capture the entire vessel tree. Fig. 10 shows the results from the application of the fixed end points version of this framework.
@@ Line 41: / Line 43: @@
 ''In Print''
-* [http://www.na-mic.org/pages/Special:Publications?text=Projects%3ABloodVesselSegmentation&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database]
+* [http://www.na-mic.org/publications/pages/display?search=BloodVesselSegmentation&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&searchbytag=checked&sponsors=checked| NA-MIC Publications Database]
 [[Category: Segmentation]] [[Category:CT]]

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 Fig. 9.
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 = Key Investigators =
-* Georgia Tech Algorithms:Yan Yang, Ponnappan Arumuganainar, Vandana Mohan, Allen Tannenbaum
+* Georgia Tech Algorithms:Vandana Mohan, Shawn Lankton, Yan Yang, Ponnappan Arumuganainar, Allen Tannenbaum
 = Publications =

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 Fig. 8.
 '''Results of local region based evolution in 3D'''
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 Fig. 9.
 = Key Investigators =

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 [[Image:Ponnappan_Plaque_2D.PNG | Figure 8]]
 '''Results of local region based evolution in 3D'''
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 [[Image:Ponnappan_Plaque_3D.PNG | Figure 9]]
 = Key Investigators =

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-'''Results of 2D local region based evolution'''
+'''Results of local region based evolution in 2D'''
 The results of the local region based evolution on a 2D slice of CTA volume is given below. The Red contour is the output of the vessel segmentation algorithm discussed in the previous section. The Blue contour is the result of the local region based evolution using Chan-Vese energy. The region between the Red and the Blue contour is the soft plaque and the wall of the coronary vessel.
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-'''Results of 3D local region based evolution'''
+'''Results of local region based evolution in 3D'''
 The results of the local region based evolution in 3D is given below. The local evolution was done for one of the two arteries visible in the slices shown below.