SOCR Data June2008 ID NI - Revision history

IvoDinov at 00:00, 12 June 2008

2008-06-12T00:00:31Z

IvoDinov at 23:55, 11 June 2008

2008-06-11T23:55:06Z

IvoDinov at 23:45, 11 June 2008

2008-06-11T23:45:28Z

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IvoDinov at 23:34, 11 June 2008

2008-06-11T23:34:54Z

IvoDinov at 23:18, 11 June 2008

2008-06-11T23:18:05Z

IvoDinov: Replacing page with '== Multi-disciplinary NISER activity - Mercury in Bass - Dataset == ==Data Overview== ==Data Description== ==Data Table== == References== * TBD
2008-06-11T23:10:45Z

Replacing page with '== Multi-disciplinary NISER activity - Mercury in Bass - Dataset == ==Data Overview== ==Data Description== ==Data Table== == References== * TBD <h...'
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IvoDinov: New page: == Multi-disciplinary NISER activity - Mercury in Bass - Dataset == ==Data Overview== Largemouth bass were studied in 53 different Florida lakes to examine the facto...

2008-06-11T23:07:53Z

New page: == Multi-disciplinary NISER activity - Mercury in Bass - Dataset == ==Data Overview== Largemouth bass were studied in 53 different Florida lakes to examine the facto...

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← Older revision		Revision as of 00:00, 12 June 2008
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	==Data Overview==		==Data Overview==
		+	[[Image:SOCR_Data_Dinov_June2008_NI.png\|150px\|thumbnail\|right\| Neuroimaging Data ]]
	Neuroimaging MRI data from asymptomatic subjects was acquired to develop a structural brain atlas (Shattuck, et al., 2008). The raw data was processed in two different ways to test a '''research hypothesis that super-resolution image enhancement would improve automated volume parcellation'''. Thus, an automated volume parcelation (Tu, et al., 2008) was applied first to the raw data and then to the super-resolved enhanced volumes (Marquina and Osher, 2007). Two measures of quality of the automated volume parsing were used -- [[AP_Statistics_Curriculum_2007_Hypothesis_Basics \| sensitivity and specificity]].		Neuroimaging MRI data from asymptomatic subjects was acquired to develop a structural brain atlas (Shattuck, et al., 2008). The raw data was processed in two different ways to test a '''research hypothesis that super-resolution image enhancement would improve automated volume parcellation'''. Thus, an automated volume parcelation (Tu, et al., 2008) was applied first to the raw data and then to the super-resolved enhanced volumes (Marquina and Osher, 2007). Two measures of quality of the automated volume parsing were used -- [[AP_Statistics_Curriculum_2007_Hypothesis_Basics \| sensitivity and specificity]].

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 ==Data Overview==
-Neuroimaging MRI data from asymptomatic subjects was acquired to develop a structural brain atlas (Shattuck, et al., 2008). The raw data was processed in two different ways to test a research hypothesis that super-resolution image enhancement would improve automated volume parcellation. Thus, an automated volume parcelation (Tu, et al., 2008) was applied first to the raw data and then to the super-resolved enhanced volumes (Marquina and Osher, 2007). Two measures of quality of the automated volume parsing were used -- [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | sensitivity and specificity]].
+Neuroimaging MRI data from asymptomatic subjects was acquired to develop a structural brain atlas (Shattuck, et al., 2008). The raw data was processed in two different ways to test a '''research hypothesis that super-resolution image enhancement would improve automated volume parcellation'''. Thus, an automated volume parcelation (Tu, et al., 2008) was applied first to the raw data and then to the super-resolved enhanced volumes (Marquina and Osher, 2007). Two measures of quality of the automated volume parsing were used -- [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | sensitivity and specificity]].
 Finally the results of the Sensitivity and Specificity measures were compared for the two analysis protocols -- applying the auto-volume parser directly to the native data (Standard method) and preprocesisng the native data with super-resolution enhancement (Super-Resolved) before using hte automated volume parser. Of interest was whether the second protocol (supre-resolved analysis) would produce more reliable, consistent and accurate automated volume tesselations, compared to the first protocol (standard method) where a super-resolution preprocessing was not applied.
 ==Data Description==
+* '''SubjectIndex''' = There were 10 subjects that the auto-volume parsing was tested on (with or ithout the super-resolution enhancement).
 ==Data Table==

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 ==Data Overview==
-Neuroimaging MRI data from asymptomatic subjects was acquired to develop a structural brain atlas <ref>{{cite conference| author= Shattuck DW, Mirza M, Adisetiyo V, Hojatkashani C, Salamon G, Narr KL, Poldrack RA, Bilder RM, Toga AW | title=Construction of a 3D Probabilistic Atlas of Human Cortical Structures | booktitle=NeuroImage (2007), doi: 10.1016/j.neuroimage.2007.09.031  | year=2008 |url=http://dx.doi.org/10.1016/j.neuroimage.2007.09.031}}</ref>
+Neuroimaging MRI data from asymptomatic subjects was acquired to develop a structural brain atlas (Shattuck, et al., 2008). The raw data was processed in two different ways to test a research hypothesis that super-resolution image enhancement would improve automated volume parcellation. Thus, an automated volume parcelation (Tu, et al., 2008) was applied first to the raw data and then to the super-resolved enhanced volumes (Marquina and Osher, 2007). Two measures of quality of the automated volume parsing were used -- [[AP_Statistics_Curriculum_2007_Hypothesis_Basics | sensitivity and specificity]].
 ==Data Description==
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 == References==
-<references/>
+* Shattuck DW, Mirza M, Adisetiyo V, Hojatkashani C, Salamon G, Narr KL, Poldrack RA, Bilder RM, Toga AW (2008) [http://dx.doi.org/10.1016/j.neuroimage.2007.09.031 Construction of a 3D Probabilistic Atlas of Human Cortical Structures]. NeuroImage, doi: 10.1016/j.neuroimage.2007.09.031.
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-== [[NISER_081107_ID | Multi-disciplinary NISER activity - Mercury in Bass]] - Dataset ==
+== [[SOCR_Data | SOCR Datasets]] -  Neuroimaging study of super-resolution image enhancing ==
 ==Data Overview==
+Neuroimaging MRI data from asymptomatic subjects was acquired to develop a structural brain atlas <ref>{{cite conference| author= Shattuck DW, Mirza M, Adisetiyo V, Hojatkashani C, Salamon G, Narr KL, Poldrack RA, Bilder RM, Toga AW | title=Construction of a 3D Probabilistic Atlas of Human Cortical Structures | booktitle=NeuroImage (2007), doi: 10.1016/j.neuroimage.2007.09.031  | year=2008 |url=http://dx.doi.org/10.1016/j.neuroimage.2007.09.031}}</ref>
 ==Data Description==
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 == References==
-* TBD
+<references/>
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