Deformably match the patient to a normal database.
Highlight significant differences per voxel or by region.
Track disease changes over time.
Localize quickly using cortical
Make easy-to-understand reports for
referring physicians. Confidently navigate
anatomy with the comprehensive 3D Atlas.
Increased accuracy for regional and voxel-level comparisons with robust landmark-based deformable registration.
Visual analysis alone of PET and SPECT brain images can be difficult and subjective. To address this need, MIM Software provides MIMneuro®,
an automated quantitative analysis solution for neurological disorders, traumatic brain injury, and more.
BrainAlign™ is MIMneuro's landmark-based deformation algorithm which meticulously registers each brain to a standard template, allowing for increased accuracy in quantitative comparisons.
Some algorithms seek to match intensity values, which minimizes real differences and leaves registered brains looking unrecognizable. Alternatively, affine registration alone is insufficient to accurately account for local shape differences in patient brains.
In contrast, with more than 700 landmarks identified throughout the brain, BrainAlign has sufficient degrees of freedom to correct for local differences without changing the relative distribution of tracer uptake.
MIMneuro provides not only one but three powerful, complimentary methods of quantitative analysis: region, voxel, and cortical.
Statistically significant differences are highlighted for all of the voxels in the brain on either the MPR images or the cortical surface projections (CSP). An integrated brain atlas is used to highlight differences for specific brain regions. CSPs also allow for quick localization of abnormalities and provide an easily understood view for referring physicians.
Quantitative analysis for amyloid imaging agents is also available. Brain atlas regions can be used to calculate SUV ratios (SUVr) comparing at risk brain regions to reference structures such as the cerebellum. Amyloid scans can also be compared to a user-created normal database using voxel and region analyses. And with MIM’s multi-modality fusion tools, correlation of results to CT or MR changes is easily accomplished.