Cranial PlanningOne suite for all
your planning needs

Increase clinical workflow efficiency with Elements Viewer, providing 3D visualizations of patient datasets to support the clinical decision-making process.

• Fast and easy access to medical image data

• Quick and direct interaction with DICOM images

• Simplified user interface supporting multi-touch gestures

• Rapid learning curve with intuitive usability

• Advanced 3D Viewer supports procedures that require a high level of spatial anatomic orientation

Consider every angle with Elements Image Fusion. Dataset correlation brings the plan together for indispensable definition and contouring.

• Fully automated and highly accurate image fusion

• Mutual information algorithm for dataset correlation within seconds

• Region-of-interest definition for dataset correlation in areas with similar anatomy

• Multi-modal outlining side-by-side or as overlay

• Flexibility to contour on any dataset

Compensate for distortions in MR datasets with deformable co-registration. Elements Distortion Correction Cranial creates datasets with more accurate co-registrations enabling high-precision contouring and tractography across modalities.

• Multi-modal deformable co-registration (MR–MR, MR–CT)

• Creation of an additional, deformed dataset while keeping original data

• Correction of diffusion tensor imaging (DTI) sequences to increase fiber tracking precision

• Visualization of location and magnitude of MR distortions

• Interactive comparison of rigid and distortion-corrected fusion results

Elevate surgical planning with Elements SmartBrush, a semi-automatic tool for fast and easy multi-modal outlining of cranial tumors. Intelligent computer-assisted object outlining deeply expands target definition, incorporating multiple modalities and exploiting multi-planar volume definition.

• Immediate and interactive target delineation

• Streamlined, multi-planar volume definition

• Smart contour expansion with a click of the mouse or touch of the finger

• Multi-modal outlining side-by-side or as overlay

• Performant machine learning technology potentially speeds-up planning¹

• Potential reduction of inter-observer variability¹

Receive a semi-automatic segmentation proposal of diagnosed cranial tumors: metastases, meningiomas, gliomas, glioneuronal and neuronal tumors, cranial and paraspinal nerve tumors.

• Segmentation of one or multiple primary brain tumors based on contrast-enhanced T1-weighted MR images powered by the Anatomical Patient Model

• Artificial intelligence-based state-of-the-art U-net architecture software

• Registry-based annotated datasets used for training

• Detailed quantitative analysis of segmented tumors, including volume, shape, and growth rate metrics, provided by Elements SmartBrush

Define the case from the start with fully automated, knowledge-based anatomical segmentation. Elemental to treatment planning, Elements Segmentation Cranial flexibly adapts to various anatomies and modalities and generates anatomical structures.

• Unique technology based on a patented synthetic tissue model

• Automatic segmentation of all relevant anatomical brain structures

• Efficient and consistent automation of time-consuming contouring process

• Intuitive, easy-to-use review and editing tools

Enrich anatomical images with detailed visualization about eloquent white matter structures to preserve vital functions. Elements Fibertracking revolutionizes the visualization and analysis of brain white matter pathways by means of constrained spherical deconvolution (CSD)-based¹ analysis, potentially enhancing patient care. Switch between deterministic DTI- and probabilistic CSD-based tractography to see what’s critical for your specific case with Elements Fibertracking.

• Research-grade probabilistic tractography for clinical practice to identify multiple fiber directions and address crossing and fanning fibers, as well as fibers in edema region with ease¹

• Intuitive user interface and instant updates assist with a seamless functional tumor workflow for patient-specific planning with combined MRI and DWI data

• Selection of tracking templates (e.g., corticospinal tract, arcuate fasciculus, inferior fronto-occipital fasciculus¹) enable efficient, standardized and reproducible tracking of important white matter tracts with unique parameter combinations for each template

Enhance anatomical images to visualize eloquent areas in cortical structures in the brain.

• Resting-state (correlation map) and task-based (activation map) analysis options²

• May help identify the shortest and safest path to the pathology of interest

• Detection of BOLD responses from activity due to tasks performed by the patient during MR scanning or stimuli

• Creation of correlation maps to identify which plausible brain areas might be functionally connected to the seed region of interest (ROI)

• Combination of BOLD analysis and fiber tractography creates potential for more precision in functional pre-planning

Plan multiple trajectories for neurosurgical approaches with preconfigured view modes. Comprising all relevant data such as target structure, segmented objects and fiber tracts in one place, Elements Trajectory Planning Cranial allows for well-informed approach planning.

• Interactive target and entry point positioning

• Flexible definition of trajectories based on AC/PC-relative or DICOM coordinates

• Adjustable 3D trajectory shapes for case-specific visualization

• Axial, coronal, sagittal, inline and probe’s eye views for trajectory verification

Bridge the gap between preoperative plans and intraoperative scans. With intraoperative MR or CT images available, Elements Virtual iMRI Cranial simulates the status quo of surgical plans.

• Facilitates continued use of preoperative treatment plans

• Deforms a preoperative plan based on an intraoperative scan (MR or CT)

• Simulates anatomical changes caused by the intervention

• Potentially eliminates the need to repeat planning steps like fiber tractography or segmentation

• Helps to estimate tissue deformation due to brain shift and supports surgical decision making with regards to extent of resection