Roitool software

Manufactured by Siemens

Sourced in United States

ROITool software is a product from Siemens that provides analytical tools to assess the Return on Investment (ROI) for various projects and initiatives. The software enables users to input data and parameters to generate reports and projections related to the expected financial performance and outcomes.

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Lab products found in correlation

2 protocols using roitool software

Multimodal Imaging for PiB Uptake Analysis

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MRI and [¹¹C]PiB PET images were processed as previously described (Cohen 2009, Rosario 2011). Dynamic PET images were visually assessed for frame-to-frame motion by generating a whole brain contour on a mid-time point frame in ROITool software (CTI PET Systems Knoxville, TN, USA) and inspecting this contour across all other frames. If interframe motion was observed, a set of stable frames was averaged and used as reference for frame-to-frame registration as previously described (Price et al., 2005 (link)). PET data were then averaged over 50–70 min post-injection. MRI images were manually skull-stripped and reoriented so that axial image planes were parallel to the anteriorposterior commissure line. [¹¹C]PiB images were registered to skull-stripped MRIs using rigid body registration in AIR version 3.0, and MRIs were resliced to PET resolution.
Manual region of interest (ROI) drawing was performed on skull-stripped MRIs in PET resolution using ROITool software (Siemens Medical Systems, Knoxville, TN, USA). ROIs drawn included the anterior ventral striatum (AVS), frontal cortex (FRC), precuneus (PRC), and cerebellar grey matter (CER). Standardized uptake value ratios (SUVR) were calculated for the AVS, FRC, and PRC using CER as reference.

Tudorascu D.L., Anderson S.J., Minhas D.S., Yu Z., Comer D., Lao P., Hartley S., Laymon C.M., Snitz B.E., Lopresti B.J., Johnson S., Price J.C., Mathis C.A., Aizenstein H.J., Klunk W.E., Handen B.L., Christian B.T, & Cohen A.D. (2018). Comparison of longitudinal Aβ in non-demented elderly and Down syndrome. Neurobiology of aging, 73, 171-176.

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Automated Segmentation of Brain Regions for PET Imaging

Cited 2 times

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HD_NS ROIs were generated as previously described [1] (link), [12] (link). MR images were manually skull-stripped and reoriented such that the axial image planes were parallel to the anterior-posterior commissure line. [¹¹C]PiB images were registered to skull-stripped MRIs using AIR, version 3.0, and MRI images were resliced to PET resolution.
Manual ROI tracing was performed on skull-stripped MR images in PET native space using ROI Tool software (Siemens Medical Systems, Knoxville, TN). HD_NS ROIs included the anterior cingulate gyrus (ACG), anterior ventral striatum (AVS), frontal cortex (FRC), lateral temporal cortex (LTC), parietal cortex (PAR), precuneus cortex (PRC), and cerebellar gray matter. A global region (GBL) was created by generating a voxel-weighted average of the 5 cortical ROIs and the striatal ROI.

Tudorascu D.L., Minhas D.S., Lao P.J., Betthauser T.J., Yu Z., Laymon C.M., Lopresti B.J., Mathis C.A., Klunk W.E., Handen B.L., Christian B.T, & Cohen A.D. (2018). The use of Centiloids for applying [11C]PiB classification cutoffs across region-of-interest delineation methods. Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring, 10, 332-339.

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