Projects:NonRigidRegistration - Revision history

Grundlett: Text replacement - "http://www.slicer.org/slicerWiki/index.php/" to "https://www.slicer.org/wiki/"

2017-07-10T17:12:54Z

Text replacement - "http://www.slicer.org/slicerWiki/index.php/" to "https://www.slicer.org/wiki/"

Melonakos at 18:03, 6 November 2008

2008-11-06T18:03:00Z

Melonakos at 19:09, 25 June 2008

2008-06-25T19:09:25Z

Melonakos at 19:09, 25 June 2008

2008-06-25T19:09:14Z

Melonakos: /* Metrics Discussions */

2008-06-25T18:54:38Z

Metrics Discussions

Melonakos: /* Metrics Discussions */

2008-06-25T18:53:59Z

Metrics Discussions

Melonakos: /* Metrics Discussions */

2008-06-25T18:53:41Z

Metrics Discussions

Melonakos at 18:52, 25 June 2008

2008-06-25T18:52:19Z

Aylward: /* BWH NAC */

2008-06-24T16:54:58Z

BWH NAC

Aylward: /* Discussions */

2008-06-24T16:48:37Z

Discussions

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 * [[ITK Registration Optimization]]
-* [http://www.slicer.org/slicerWiki/index.php/Slicer:benchmarks Slicer:benchmarks]
+* [https://www.slicer.org/wiki/Slicer:benchmarks Slicer:benchmarks]
 * [[Algorithms:TCON_09_01_2006|Algorithms TCON on September 1, 2006]]
 * [[Engineering:TCON_09_12_2006|ET Core1/Core2 TCON on September 12, 2006]]

@@ Line 18: / Line 18: @@
 * [[ITK Registration Optimization]]
-* [[Slicer:benchmarks]]
+* [http://www.slicer.org/slicerWiki/index.php/Slicer:benchmarks Slicer:benchmarks]
 * [[Algorithms:TCON_09_01_2006|Algorithms TCON on September 1, 2006]]
 * [[Engineering:TCON_09_12_2006|ET Core1/Core2 TCON on September 12, 2006]]

@@ Line 1: / Line 1: @@
-Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
+ Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
 __NOTOC__
 = NA-MIC Non-rigid Registration Efforts =

@@ Line 1: / Line 1: @@
 Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
-= BWH NAC =
+== BWH NAC ==
 The Neuoimage Analysis Center (NAC) is a National Resource Center funded through the National Center for Research Resources (part of the NIH). The NAC is centered at the Surgical Planning Laboratory at Brigham and Women's Hospital. Led by Ron Kikinis, M.D.; Ferenc Jolesz, M.D.; and Sandy Wells, Ph.D., the NAC develops analysis techniques and open-source software for problems in basic and applied neuroscience.

@@ Line 66: / Line 66: @@
 ** (Sandy Wells) Lilla Zollei's "Dirichlet" approach provides a natural generalizatin of the entropy approach that incorporates prior knowledge in a more controlled way, and it is better for EPI / MRI than MI is. It appeared in her thesis, and in a recent WBIR paper (see her web page for those... just google "Lilla Zollei").
 * Monge-Kantorivich - Optimal Mass Transport
-** (Allen Tannenbaum) We have proposed a method for elastic registration, based on an optimization problem built around the Monge--Kantorovich distance taken as a similarity measure. The constraint that we put on the transformations considered is that they obey a mass preservation property. Thus, we are matching mass densities in this method, which may be thought of as weighted areas in 2D or weighted volumes in 3D. We will assume that a rigid (non-elastic) registration process has already been applied before applying our scheme. Our method has a number of distinguishing characteristics. It is parameter free. It utilizes all of the grayscale data in both images, and places the two images on equal footing. It is thus symmetrical, the optimal mapping from image A to image B being the inverse of the optimal mapping from B to A. It does not require that landmarks be specified. The minimizer of the distance functional involved is unique; there are no other local minimizers. Finally, it is specifically designed to take into account changes in density that result from changes in area or volume.  For more details, visit the [[Projects:OptimalMassTransport|Optimal Mass Transport Project Page]].
+** (Allen Tannenbaum) We have proposed a method for elastic registration, based on an optimization problem built around the Monge--Kantorovich distance taken as a similarity measure. The constraint that we put on the transformations considered is that they obey a mass preservation property. Thus, we are matching mass densities in this method, which may be thought of as weighted areas in 2D or weighted volumes in 3D. We will assume that a rigid (non-elastic) registration process has already been applied before applying our scheme. Our method has a number of distinguishing characteristics. It is parameter free. It utilizes all of the grayscale data in both images, and places the two images on equal footing. It is thus symmetrical, the optimal mapping from image A to image B being the inverse of the optimal mapping from B to A. It does not require that landmarks be specified. The minimizer of the distance functional involved is unique; there are no other local minimizers. Finally, it is specifically designed to take into account changes in density that result from changes in area or volume.  For more details, visit the [[Projects:OptimalMassTransportRegistration|Optimal Mass Transport Project Page]].
 * "Don't Care" feature"
 ** (Stephen Aylward) Should it support the use of "don't care" regions across which the deformation is smoothly interpolated

← Older revision		Revision as of 18:52, 25 June 2008
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−	Back to [[NA-MIC_Collaborations\|NA-MIC_Collaborations~~]], [[Algorithm:Utah\|Utah Algorithms~~]]	+	Back to [[NA-MIC_Collaborations\|NA-MIC_Collaborations]]

	= BWH NAC =		= BWH NAC =

← Older revision		Revision as of 16:54, 24 June 2008
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	The new multi-threaded registration techniques are being incorporated into Slicer's EM Segmenter module by Brad Davis to support the registration and segmentation of large MR brain volumes.		The new multi-threaded registration techniques are being incorporated into Slicer's EM Segmenter module by Brad Davis to support the registration and segmentation of large MR brain volumes.
		+
		+	FOR TECHNICAL INFORMATION, please refer to <b> http://wiki.na-mic.org/Wiki/index.php/ITK_Registration_Optimization </b>

	= Related Links =		= Related Links =

@@ Line 33: / Line 33: @@
 * Use-cases
-* Intersubject mapping [[Intersubject|example data set]] (Kilian)
+** Intersubject mapping [[Intersubject|example data set]] (Kilian)
-* fMRI to hi-res brain morphology mapping [[FMRI-to-hires|example data set]] (Steve Pieper)
+** fMRI to hi-res brain morphology mapping [[FMRI-to-hires|example data set]] (Steve Pieper)
-* DTI: components of the diffusion tensor [[DTI-non-rigid]] (Sylvai)
+** DTI: components of the diffusion tensor [[DTI-non-rigid]] (Sylvai)