BOLD fMRI is used to highlight small magnetic susceptibility changes in the human brain in areas with altered blood-flow resulting from neuronal activity. The BOLD fMRI analysis module can be used to generate and visualize activation maps from acquired BOLD fMRI time series, using a general linear model. Preprocessing includes co-registration of BOLD images with structural MR images, motion correction, slice-timing correction, Gaussian smoothing and high-pass temporal filtering. In the BOLD fMRI module, several conditions can be displayed in the same view, both in 2D and 3D, and the BOLD threshold can be adjusted interactively. VOI-tools can be used to inspect the time-intensity curves for quality assessment. Results can be exported for neuronavigation or saved to PACS.

Diffusion analysis is used to visualize local water diffusion properties from the analysis of diffusion-weighted MRI data. Fiber tracking utilizes the directional dependency of diffusion to statistically model the white matter structure in the brain. In the DTI module, diffusion data with at least 6 directions can be used to calculate the diffusion tensor and produce diffusion output parameter maps such as ADC (mean diffusivity), FA (fractional anisotropy), Trace, eigenvalue maps etc. Pre-processing includes co-registration of tensor data with structural MR images, and motion and Eddy current corrections. Diffusion gradient information can be automatically extracted from the DICOM header or specified manually. DTI tractography is automatically displayed in 3D view, and multiple volumes/regions of interest can be used to define selected fiber groups and explore connectivity. Fiber groups can be presented in 2D/3D and exported to neuronavigation or saved to PACS.

Dynamic susceptibility contrast imaging (perfusion MRI) is based on the analysis of tissue signal change following a bolus injection of a Gadolinium-based contrast agent, providing information about blood vessel structures and characteristics. The perfusion analysis includes co-registration of DSC images with structural MR images, normalization, leakage correction and vessel removal. The analysis is fast and generates cerebral blood volume (CBV), cerebral blood flow (CBF), mean transit time (MTT), time-to-peak (TTP), leakage and vessel mask output maps. Tissue response curves can be viewed from any region in the perfusion maps, together with histogram information.

Dynamic contrast enhanced imaging (DCE-MRI) is based on the analysis of tissue signal change following a bolus injection of a Gadolinium-based contrast agent, enabling analysis of tissue permeability parameters, thus providing information about vascular permeability and intra- and extravascular volume. The DCE analysis employs two compartment modelling to generate output maps such as area under the curve (AUC), volume transfer constant (Ktrans), rate constant (Kep), plasma volume (Vp), fractional volume (Ve) and time to peak (TTP).

The MPR viewer displays perfusion and permeability maps, fiber tracking, and BOLD fMRI data together for extensive patient evaluation.