This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The goals are two-fold. First, MR sequence development to determine a routine MR imaging protocol to obtain optimum contrast between different structures in the mouse brain.
The aim i s to optimize two factors: the contrast and the scan time. Image contrasts like T1-weighted, T2-weighted, proton density, diffusion-weighted and Magnetization Transfer Contrast are explored. The sequences will be optimized for both stained and unstained mouse brains. Second, is a multivariate statistical analysis and segmentation of the different structures, which involves analysis of structure data with multiple contrasts to determine the optimum combination between these for segmentation of specific structures. Then, we will follow with segmentation of neurohistologically significant structures. The segmentation algorithm will then be developed to classify structures into different classes based on their multivariate intensity distributions and apriori anatomical labeled atlases. Secondary features, like texture and gradient, will be incorporated later.
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