Modules:UnbiasedNonLocalMeans-Documentation-3.6 - Revision history

Westin: /* Examples, Use Cases & Tutorials */

2010-05-17T08:30:20Z

Examples, Use Cases & Tutorials

2010-05-17T08:29:12Z

Examples, Use Cases & Tutorials

2010-05-13T14:48:18Z

References

2010-05-13T14:47:27Z

Module Description

2010-05-13T14:46:59Z

Examples, Use Cases & Tutorials

2010-05-13T14:45:07Z

Module Description

2010-05-13T14:28:03Z

Acknowledgment

2010-05-08T16:21:12Z

Quick Tour of Features and Use

2010-05-08T16:15:55Z

Source code & documentation

2010-05-08T16:14:19Z

Usability issues

@@ Line 42: / Line 42: @@
 After filtering:
 {|
-|[[Image:UNLM.png|thumb|600px|Original unfiltered image]]
+|[[Image:UNLM.png|thumb|600px|Result after filtering with the unbiased non-local means method. This method performs relatively well, but has very high computational cost.]]
 |}

@@ Line 35: / Line 35: @@
 Before filtering:
 After filtering:
+{|
-[[File:UNLM.png]]
+|[[Image:UNLM.png|thumb|600px|Original unfiltered image]]
 ===Quick Tour of Features and Use===

← Older revision		Revision as of 14:48, 13 May 2010
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	===References===		===References===
		+
		+
		+	* Antonio Tristán-Vega and Santiago Aja-Fernández, "DWI filtering using joint information for DTI and HARDI", Medical Image Analysis, Volume 14, Issue 2, Pages 205-218 (2010).
		+	* Santiago Aja-Fernández, Antonio Tristán-Vega, and Carlos Alberola-López, "Noise estimation in single- and multiple-coil magnetic resonance data based on statistical models". Magnetic Resonance Imaging, Volume 27, Pages 1397-1409 (2009).

@@ Line 18: / Line 18: @@
 ===Module Description===
-This module reduces noise (or unwanted detail) on a set of diffusion weighted images. For this, it filters the images using a Unbiased Non Local Means for Rician noise algorithm. It exploits not only the spatial redundancy, but the redundancy in similar gradient directions as well; it takes into account the N closest gradient directions to the direction being processed (a maximum of 5 gradient directions is allowed to keep a reasonable computational load, since we do not use neither similarity maps nor block-wise implementation). The noise parameter is automatically estimated.
+This module reduces noise (or unwanted detail) on a set of diffusion weighted images. For this, it filters the images using a Unbiased Non Local Means for Rician noise algorithm. It exploits not only the spatial redundancy, but the redundancy in similar gradient directions as well; it takes into account the N closest gradient directions to the direction being processed (a maximum of 5 gradient directions is allowed to keep a reasonable computational load, since we do not use neither similarity maps nor block-wise implementation).
 A complete description of the algorithm may be found in:

← Older revision		Revision as of 14:46, 13 May 2010
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	===Examples, Use Cases & Tutorials===		===Examples, Use Cases & Tutorials===
		+
		+	To use this filter, just load a DWI volume (gradient directions must be known) and apply the filter, as illustrated below. A brief summary of the parameters used is given below.
		+
		+	Before filtering:
		+
		+	[[File:orig.png]]
		+
		+	After filtering:
		+
		+	[[File:UNLM.png]]

	===Quick Tour of Features and Use===		===Quick Tour of Features and Use===

@@ Line 61: / Line 61: @@
 ===Acknowledgment===
-Antonio Tristan Vega, Santiago Aja Fernandez. University of Valladolid (SPAIN). Partially founded by grant number TEC2007-67073/TCM from the Comision Interministerial de Ciencia y Tecnologia (Spain).
+Antonio Tristan Vega, Santiago Aja Fernandez. University of Valladolid (SPAIN). Partially funded by grant number TEC2007-67073/TCM from the Ministerio de Ciencia e Innovación (Spain) and "FEDER" European Regional Development Fund.
 ===References===

@@ Line 25: / Line 25: @@
 ===Quick Tour of Features and Use===
-It is very easy to use it. Just select a DWI, set the parameters (if you really need it), and you're ready to go.
+Just select a DWI, set the parameters (if you really need it), and you're ready to go.
 * '''Input DWI Volume:''' set the DWI volume

← Older revision		Revision as of 16:15, 8 May 2010
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	===Source code & documentation===		===Source code & documentation===
		+	Source Code: Follow this [http://www.na-mic.org/ViewVC/index.cgi/trunk/Applications/CLI/DiffusionApplications/dwiUNLM link]
		+
		+	Doxygen documentation:
		+	*[http://www.na-mic.org/Slicer/Documentation/Slicer3-doc/html/classitk_1_1ComputeRestrictedHistogram.html itkComputeRestrictedHistogram.h]
		+	*[http://www.na-mic.org/Slicer/Documentation/Slicer3-doc/html/classitk_1_1OtsuStatistics.html itkOtsuStatistics.h]
		+	*[http://www.na-mic.org/Slicer/Documentation/Slicer3-doc/html/classitk_1_1OtsuThreshold.html itkOtsuThreshold.h]
		+	*[http://www.na-mic.org/Slicer/Documentation/Slicer3-doc/html/classitk_1_1UNLMFilter.html itkUNLMFilter.h]

	== More Information ==		== More Information ==

@@ Line 47: / Line 47: @@
 ===Usability issues===
-This filter is painfully slow. May take hours.
+This filter is very slow. May take hours.
 ===Source code & documentation===