Projects:ShapeBasedSegmentationAndRegistration - Revision history

Melonakos at 20:19, 11 May 2010

2010-05-11T20:19:27Z

Melonakos at 00:53, 28 August 2009

2009-08-28T00:53:06Z

Melonakos at 18:14, 26 August 2009

2009-08-26T18:14:38Z

Melonakos at 17:49, 13 July 2009

2009-07-13T17:49:42Z

Ythomas: /* Publications */

2009-04-23T17:55:41Z

Publications

Melonakos at 00:44, 11 June 2008

2008-06-11T00:44:45Z

Pohl: /* Publications */

2008-05-30T14:33:20Z

Publications

Pohl: /* Publications */

2008-05-30T14:32:31Z

Publications

Pohl: /* Publications */

2008-05-30T14:31:04Z

Publications

Pega85: /* Publications */

2008-05-16T21:00:42Z

Publications

@@ Line 139: / Line 139: @@
 ''In Print''
-* [http://www.na-mic.org/publications/pages/display?search=Projects%3AShapeBasedSegmentationAndRegistration&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=Projects%3AShapeBasedSegmentationAndRegistration&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database on Shape Based Segmentation and Registration]
 [[Category: Shape Analysis]] [[Category: Registration]] [[Category: Segmentation]] [[Category:MRI]]

@@ Line 1: / Line 1: @@
-  Back to [[NA-MIC_Internal_Collaborations:StructuralImageAnalysis|NA-MIC Collaborations]], [[Algorithm:MIT|MIT Algorithms]]
+  Back to [[Algorithm:MIT|MIT Algorithms]]
 __NOTOC__
 = Shape Based Segmentation and Registration =

@@ Line 1: / Line 1: @@
-Back to [[NA-MIC_Internal_Collaborations:StructuralImageAnalysis|NA-MIC Collaborations]], [[Algorithm:MIT|MIT Algorithms]]
+ Back to [[NA-MIC_Internal_Collaborations:StructuralImageAnalysis|NA-MIC Collaborations]], [[Algorithm:MIT|MIT Algorithms]]
 __NOTOC__
 = Shape Based Segmentation and Registration =
@@ Line 5: / Line 5: @@
 Standard image based segmentation approaches perform poorly when there is little or no contrast along boundaries of different regions. In such cases segmentation is mostly performed manually using prior knowledge of the shape and relative location of the underlying structures combined with partially discernible boundaries. We present an automated approach guided by covariant shape deformations of neighboring structures, which is an additional source of prior knowledge. Captured by a shape atlas, these deformations are transformed into a statistical model using the logistic function. The mapping between atlas and image space, structure boundaries, anatomical labels, and image inhomogeneities are estimated simultaneously within an Expectation-Maximization formulation of the Maximum A posteriori Probability (MAP) estimation problem. These results are then fed into an Active Mean Field approach, which views the results as priors to a Mean Field approximation with a curve length prior.
-= EM-Based Shape Segmenter =
+== EM-Based Shape Segmenter ==
 {|
@@ Line 58: / Line 58: @@
 |}
-= Active Mean Field (AFM) =
+== Active Mean Field (AFM) ==
 The approach estimates the posterior probability of
 tissue labels.  Conventional likelihood models are combined with a

@@ Line 133: / Line 133: @@
 = Key Investigators =
-* MIT Algorithms: K.M. Pohl, S. Bouix, M. Shenton, R. Kikinis, and W.M. Wells
+* MIT: K.M. Pohl, S. Bouix, M. Shenton, R. Kikinis, and W.M. Wells
 = Publications =

@@ Line 138: / Line 138: @@
 ''In Print''
-* [http://www.na-mic.org/pages/Special:Publications?text=Projects%3AShapeBasedSegmentationAndRegistration&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=Projects%3AShapeBasedSegmentationAndRegistration&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database]
 [[Category: Shape Analysis]] [[Category: Registration]] [[Category: Segmentation]] [[Category:MRI]]

@@ Line 136: / Line 136: @@
 = Publications =
 K.M. Pohl, J. Fisher, S. Bouix, M. Shenton, R. W. McCarley, W.E.L. Grimson, R. Kikinis, and W.M. Wells. Using the Logarithm of Odds to Define a Vector Space on Probabilistic Atlases. Medical Image Analysis,11(6), pp. 465-477, 2007
-* <I>In Press</I><BR> [http://www.na-mic.org/pages/Special:Publications?text=Pohl&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database]
 [[Category: Shape Analysis]] [[Category: Registration]] [[Category: Segmentation]] [[Category:MRI]]