Difference between revisions of "DBP2:MIND"
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For the MIND roadmap, follow this [[DBP2:MIND:Roadmap|link.]] | For the MIND roadmap, follow this [[DBP2:MIND:Roadmap|link.]] | ||
| − | = MIND | + | = MIND Roadmap Project = |
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| − | == [[ | + | == [[Brain Lesion Analysis in Neuropsychiatric Systemic Lupus Erythematosus|Lesion Classification in Lupus]] == |
| − | Our goal is to automatically, or with little or no manual human rater input, accurately tissue classify our example lupus data-set into gray, white, csf, and lesion classes. | + | Our goal is to automatically, or with little or no manual human rater input, accurately tissue classify our example lupus data-set into gray, white, csf, and lesion classes. |
<font color="red">'''New: '''</font> Participants in the Summer 2007 NA-MIC Project Week. | <font color="red">'''New: '''</font> Participants in the Summer 2007 NA-MIC Project Week. | ||
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Revision as of 22:02, 10 December 2007
Home < DBP2:MINDBack to NA-MIC DBP 2
Overview of MIND DBP 2
The Analysis of Brain Lesions in Neuropsychiatric Systemic Lupus Erythematosus
Critical to understanding the etiology of brain lesions in NPSLE will be the accurate measurement of their location, size, and time course. Lupus brain lesions are known to vary in MRI intensity and temporal evolution and include acute, chronic, and resolving cases. Monitoring the time course of image intensity changes in the vicinity of lesions, therefore, may serve to classify them based on their temporal characteristics. Hence, a major objective of this DBP will be the evaluation of existing tools and the development new tools within SLICER for the time series analysis of brain lesions in lupus.
For more introductory information, follow this link.
For the MIND roadmap, follow this link.
MIND Roadmap Project
|
Lesion Classification in LupusOur goal is to automatically, or with little or no manual human rater input, accurately tissue classify our example lupus data-set into gray, white, csf, and lesion classes. New: Participants in the Summer 2007 NA-MIC Project Week. |
