2008AHM.Tractography.MeetingNotes - Revision history

RandyGollub at 18:51, 9 January 2008

2008-01-09T18:51:58Z

2008-01-09T18:47:22Z

2008-01-09T17:54:18Z

2008-01-09T17:51:35Z

2008-01-09T17:25:18Z

2008-01-09T17:06:19Z

2008-01-09T17:05:31Z

2008-01-09T16:57:23Z

New page: Back to AHM_2008, Events

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Back to [[AHM_2008]], [[Events]]

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 #What is the impact of adjusting parameters within an algorithm on the outcome metrics?  May need to explore this in addition to the cross algorithm assessments.
 #What is the effect of the tissue properties that surround the track on results within and across algorithm.
+#Differences due to the topology, how to visualize?  Binary masks in/out of track volume.
 Action Plan:

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 From Vince Magnotta's presentation:GTRACT fine for forceps major and minor, internal capusule and Fast Marching algorithm better for fornix, hippocampus-cingulum and cingulum.  For the Fast Marching algorithm, modified the algorithm to use cost image generations based on tensor and anisotropy, gradient descent. His algorithm would perform "better" for core of cingulum bundle, needs a smaller, more focal ROI.  For uncinate, couldn't get it to bend around, would need intermediate ROIs.
 Action Plan:
-Plan upload for each subject the DTI registered white matter mask in nrrd format (Anastasia, Sylvain, bug-reporter as needed)
+Plan upload for each subject the DTI registered white matter mask in nrrd format (Anastasia, Sylvain, bug-reporter as needed).
 Back to [[2008_Winter_Project_Week_Tractography]], [[AHM_2008]], [[Events]]

← Older revision		Revision as of 17:54, 9 January 2008
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−	From Vince Magnotta's presentation:GTRACT fine for forceps major and minor, internal capusule and Fast Marching algorithm better for fornix, hippocampus-cingulum and cingulum. ~~Cost~~ image generations based on tensor and anisotropy, gradient descent	+	From Vince Magnotta's presentation:GTRACT fine for forceps major and minor, internal capusule and Fast Marching algorithm better for fornix, hippocampus-cingulum and cingulum. For the Fast Marching algorithm, modified the algorithm to use cost image generations based on tensor and anisotropy, gradient descent. His algorithm would perform "better" for core of cingulum bundle, needs a smaller, more focal ROI. For uncinate, couldn't get it to bend around, would need intermediate ROIs.

	Action Plan:		Action Plan:

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 From Casey's presentation:  Could do tractography for all tracks.  Made suggestion to compute more complex statistics of fiber track, e.g. FA measure in spatial distribution.  His Atlas presentation brought up idea of using one set of ROI specifications for an entire study in atlas space and map them back to the individual.
-From John's presentation: His method required that he had to shrink the provided ROIs for uncinate fasciulus and corpus callosum to  make his method work.  Then could generate fiber volumes for each tract.  His tracts all STOP at ROIs (end points).  If given ROIs farther apart could generate longer tracts.  Needed a white matter mask- created his own with Tri by thresholding FA. Discussion regarding whether the ROIs based on Susumu Mori's criteria would actually be optimal or even work for every method.
+From John's presentation: His method required that he had to shrink the provided ROIs for uncinate fasciulus and corpus callosum to  make his method work.  Then could generate fiber volumes for each tract.  His tracts all STOP at ROIs (end points).  If given ROIs farther apart could generate longer tracts.  Needed a white matter mask- created his own with Tri by thresholding FA (>0.15). Discussion regarding whether the ROIs based on Susumu Mori's criteria would actually be optimal or even work for every method.
 Back to [[2008_Winter_Project_Week_Tractography]], [[AHM_2008]], [[Events]]

← Older revision		Revision as of 17:25, 9 January 2008
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	Could do tractography for all tracks with both ROI and whole brain seeding.		Could do tractography for all tracks with both ROI and whole brain seeding.

−	From Casey's presentation: Could do tractography for all tracks. Made suggestion to compute more complex statistics of fiber track, e.g. FA measure in spatial distribution.	+	From Casey's presentation: Could do tractography for all tracks. Made suggestion to compute more complex statistics of fiber track, e.g. FA measure in spatial distribution. His Atlas presentation brought up idea of using one set of ROI specifications for an entire study in atlas space and map them back to the individual.
		+
		+	From John's presentation: His method required that he had to shrink the provided ROIs for uncinate fasciulus and corpus callosum to make his method work. Then could generate fiber volumes for each tract. His tracts all STOP at ROIs (end points). If given ROIs farther apart could generate longer tracts. Needed a white matter mask- created his own with Tri by thresholding FA. Discussion regarding whether the ROIs based on Susumu Mori's criteria would actually be optimal or even work for every method.

← Older revision		Revision as of 17:06, 9 January 2008
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−	Back to [[AHM_2008]], [[Events]]	+	Back to [[2008_Winter_Project_Week_Tractography]], [[AHM_2008]], [[Events]]

← Older revision	Revision as of 17:05, 9 January 2008
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	+	From Sonia:
	+	Could do tractography for all tracks with both ROI and whole brain seeding.

	+	From Casey's presentation: Could do tractography for all tracks. Made suggestion to compute more complex statistics of fiber track, e.g. FA measure in spatial distribution.