Projects:DTIRicianNoiseRemoval - Revision history

Melonakos at 19:57, 27 November 2007

2007-11-27T19:57:06Z

Melonakos at 14:09, 4 September 2007

2007-09-04T14:09:41Z

Melonakos at 14:08, 4 September 2007

2007-09-04T14:08:59Z

Melonakos at 14:08, 4 September 2007

2007-09-04T14:08:40Z

Melonakos at 13:25, 4 September 2007

2007-09-04T13:25:15Z

Melonakos at 19:03, 3 September 2007

2007-09-03T19:03:30Z

Melonakos: NA-MIC/Projects/Diffusion Image Analysis/Rician Noise Removal DTI moved to Projects:DTIRicianNoiseRemoval

2007-08-21T03:56:30Z

NA-MIC/Projects/Diffusion Image Analysis/Rician Noise Removal DTI moved to Projects:DTIRicianNoiseRemoval

Fletcher at 21:35, 19 April 2007

2007-04-19T21:35:35Z

Fletcher at 21:33, 19 April 2007

2007-04-19T21:33:23Z

Fletcher at 21:30, 19 April 2007

2007-04-19T21:30:55Z

New page

'''Objective:''' Provide a software tool for clinicians that will filter diffusion tensor images using our Rician noise removal algorithm. The method should be completely automatic and give the user the option of reviewing the images to make sure that the results are acceptable.

'''Progress:''' Developed a Slicer module for our DT-MRI Rician noise removal during the [[2007_Project_Half_Week|2007 Project Half Week]]. Also enhanced the method by including an automatic method for determining the noise sigma in the image. This makes the algorithm completely automatic, i.e., there are no free parameters. Also, since the module is implemented in Slicer, images can be reviewed directly in the Slicer program after applying the filter.

''References:''
* Basu, S., Fletcher, P.T., Whitaker, R., "Rician Noise Removal in Diffusion Tensor MRI," presented at Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006, LNCS 4190, pp. 117--125. [[Media:BasuDTIFilteringMICCAI2006.pdf| PDF of paper]]

'''Key Investigators:'''
* Tom Fletcher, Saurav Basu, McKay Davis, Ross Whitaker (Utah).

'''Links:'''
{|
|[[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right).]]
|}

@@ Line 1: / Line 1: @@
 = DTI Rician Noise Removal =
 [[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right)]]
-'''Objectives'''
+Our Objective is to provide a software tool for clinicians that will filter diffusion tensor images using our Rician noise removal algorithm. The method should be completely automatic and give the user the option of reviewing the images to make sure that the results are acceptable.
-'''Progress'''
+= Description =
 Developed a Slicer module for our DT-MRI Rician noise removal during the [[2007_Project_Half_Week|2007 Project Half Week]]. Also enhanced the method by including an automatic method for determining the noise sigma in the image. This makes the algorithm completely automatic, i.e., there are no free parameters. Also, since the module is implemented in Slicer, images can be reviewed directly in the Slicer program after applying the filter.
-''References''
+= Publications =
-* Basu, S., Fletcher, P.T., Whitaker, R., "Rician Noise Removal in Diffusion Tensor MRI," presented at Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006, LNCS 4190, pp. 117--125. [[Media:BasuDTIFilteringMICCAI2006.pdf| PDF of paper]]
+[http://www.na-mic.org/Special:Publications?text=Projects%3ADTIRicianNoiseRemoval&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database]
-'''Key Investigators'''
+= Key Investigators =
 * Utah: Tom Fletcher, Saurav Basu, McKay Davis, Ross Whitaker
-'''Links'''
+= Links =
   Project Week Results: [[Media:2007_Project_Half_Week_RicianNoiseDTI.ppt|Jan 2007]]

@@ Line 3: / Line 3: @@
   Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]
-{|
+[[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right)]]
 '''Objectives'''

@@ Line 2: / Line 2: @@
   Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]
 '''Objectives'''
@@ Line 22: / Line 26: @@
   Project Week Results: [[Media:2007_Project_Half_Week_RicianNoiseDTI.ppt|Jan 2007]]

@@ Line 3: / Line 3: @@
   Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]
-'''Objective'''
+'''Objectives'''
 Provide a software tool for clinicians that will filter diffusion tensor images using our Rician noise removal algorithm. The method should be completely automatic and give the user the option of reviewing the images to make sure that the results are acceptable.
@@ Line 12: / Line 12: @@
 ''References''
 * Basu, S., Fletcher, P.T., Whitaker, R., "Rician Noise Removal in Diffusion Tensor MRI," presented at Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006, LNCS 4190, pp. 117--125. [[Media:BasuDTIFilteringMICCAI2006.pdf| PDF of paper]]
 '''Key Investigators'''
 * Utah: Tom Fletcher, Saurav Basu, McKay Davis, Ross Whitaker
 '''Links'''
-[[Media:2007_Project_Half_Week_RicianNoiseDTI.ppt| 4-block PPT from the Project Half Week (Jan 2007)]]
+ Project Week Results: [[Media:2007_Project_Half_Week_RicianNoiseDTI.ppt|Jan 2007]]
 {|
 |[[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right).]]
 |}

@@ Line 1: / Line 1: @@
 = DTI Rician Noise Removal =
-  Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
+  Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]], [[Algorithm:Utah|Utah Algorithms]]
 '''Objective'''

← Older revision	Revision as of 03:56, 21 August 2007
(No difference)

← Older revision		Revision as of 21:35, 19 April 2007
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		+	Back to [[NA-MIC_Collaborations\|NA-MIC_Collaborations]]
		+
	'''Objective:''' Provide a software tool for clinicians that will filter diffusion tensor images using our Rician noise removal algorithm. The method should be completely automatic and give the user the option of reviewing the images to make sure that the results are acceptable.		'''Objective:''' Provide a software tool for clinicians that will filter diffusion tensor images using our Rician noise removal algorithm. The method should be completely automatic and give the user the option of reviewing the images to make sure that the results are acceptable.

@@ Line 10: / Line 10: @@
 '''Links:'''
 {|
 |[[Image:DTIFiltering.jpg|thumb|512px|Coronal slice from a noisy DTI (left). The same slice after applying our Rician noise DTI filtering method (right).]]
 |}