Advanced Brain Analysis ModuleDesigned to provide a rigorous and repeatable means of analyzing pre-clinical brain images, inviCRO's brain analysis tools will improve the quality and efficiency of your site's neurological studies. The tools quantify single acquisition and/or dynamic response across brain regions in PET, SPECT and/or MRI brain scans. Automated fusion routines register an application-specific brain atlas to pre-clinical image data (or vice versa) and advanced statistical analysis methods are employed to provide rapid and thorough region-specific volume and uptake quantification. Key Features
Analysis of Nuclear Medicine Brain ImagesThe nuclear medicine brain-atlas processing module provides quantification and analysis for neurological pre-clinical images. Anatomical data (i.e., a CT of the head region) are used for registration of a customizable brain atlas to PET or SPECT data, providing region-based volume and quantification information. Choose between fitting the data to an atlas or vice versa depending on the importance of data sensitivity and region preservation to your application. When the analysis is complete, the tool provides comprehensive output that is designed to simplify any additional processing.
Analysis of MRI Brain ImagesinviCRO’s MRI brain-atlas processing tools offer rapid analysis of structural and functional pre-clinical data. A wide range of analysis options are used to generate output images and spreadsheets, valuable in the assessment of volumetric and/or signal changes for structural or functional procedures. The module first identifies matching 2D MR slices with their corresponding atlas slice. Then, a semi-automated 2D slice-by-slice segmentation routine finds the brain region and allows for customization of the ROI with just a few clicks. Following the registration of the matched atlas slices to their MR counterparts, ignore "bad" slices or time points with the tool's automated and/or user-provided “avoidance” feature if necessary. Region, slice, and voxel-based AFNI processing, including percent-change maps and optional hemisphere processing, is then performed, generating quantitative and qualitative output.
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