Medis Suite - Model MR - Assessments Software
A comprehensive, time-saving and validated solution for Cardiac MR post-processing.
Validated results from over 1500+ papers, applicable for the heart and greater vessels to quantify clinical decisions.
AI-based contour detection and pre-processing algorithms have been embedded in Medis Suite MR for a comprehensive, time-saving and validated solution for cardiac MR.
Medis Suite MR has groundbreaking innovative parameters such as Hemodynamic Forces that allows the non-invasive evaluation of intra-ventricular pressure gradient (IVPG) with routine cine-images and Inward Displacement, a new parameter for regional wall motion
The robust Medis Suite platform integrates viewing, advanced analyses and reporting in one workflow. It is a multi-modality platform for MR, CT and Echo to be able to compare studies side by side.
Medis Suite MR is our solution for the assessment of the different structures of the heart and the heart’s function in both clinical routine and in scientific research. It includes all the tools for routine measurements as well as highly innovative and best-in-class applications:
- Incorporating robust, vendor-independent and proven algorithms. Automated algorithms for deep learning contour detection, flow analysis, feature-tracking, powering the cardiologist and radiologist worldwide for the last 25 years
- Used in 1500+ scientific papers to support the function, flow, and tissue characterization analysis
- MR Strain is available together with Echo Strain and CT Strain, a truly multimodality approach for advanced cardiac deformation imaging, using the same technology optimized for the different modalities
- Unique & innovative parameters for measuring Inward Displacement and Hemodynamic Forces
- Allows for the quantitative evaluation of function, strain, perfusion, viability, mapping, and flow in 2D & 4D. See the applications below for further details
- Seamless integration in healthcare IT environment and an easy connection with the DICOM network
- Regional results are part of the XML and JSON report output, to automate reporting
- Autonomous AutoQ for long axis detection and processing of AI contours
- AI Deep Learning contours for left ventricle in the long axis providing GLS in a more reproducible and quicker manner
- A new clinical parameter, Inward Displacement for regional ventricular dysfunction
- A new research parameter, Hemodynamic Forces (HDF) for the evaluation of Intra-Ventricular Pressure Gradients (IVPG)
- Automatic creation of motion corrected T1 maps providing T1 values from the viewer