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Data
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BrainImage: Imaging software and methods for mapping brain development
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Development, testing, and clinical pilot study application of quantitative MRI analysis software.
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The research aims of the SPNL Human Brain Project falls into in three principal areas:
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Ongoing development of advanced software modules for quantitative image analysis.
Determination of the reliability and validity of the methods and algorithms comprising these modules.
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Evaluation of the utility of this software in pilot imaging studies of normal pediatric controls and unique pediatric patient groups with homogeneous genetic or neurobiological causes of neurobehavioral dysfunction.
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Recently we incorporated into BrainImage several new interactive procedures for MRI quantification, which include the following:
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Semi-automated corpus callosum segmentation.
Improved methods for correction of shading artifacts (errors in intensity variance due to instrumentation) in spin-echo (long TR/double echo) and SPGR volumetric datasets.
Single and multi-spectral region growing and fuzzy segmentation algorithms.
A new skull stripping method for rapid brain isolation in SPGR volumetric scans.
An implementation of a Talairach-based stereotaxic parcellation scheme (Talairach & Tournoux, 1988) with 3D image datasets.
The reliability and validity of these procedures have already been established and thus, they can be readily utilized in new and ongoing research projects.
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