Highly reliable and robust quantitative analysis – the nr.1 vendor-independent choice of many departments for more than 15 years. The QMass ventricular function module has supported clinical research in over 650+ peer reviewed publications
The user interface makes function analysis easy and practical
New: Novel deep learning algorithm for fully automatic LV and RV contours
- Left ventricle (LV) and right ventricle (RV) volume analysis
- NEW: fully automatic LV contour detection based on a novel deep learning algorithm, for more information see this article
- Guided workflow for left and right ventricle volume analysis
- Absolute and indexed results
- Choose from different normal ranges
- Add z-scores to results
- Biplane Analysis
- Enhanced LV endocardial “LiveContour” detection
- “MassK” algorithm available for automatic segmentation of papillary muscles and trabeculations
Regional Function Analysis
- Wall motion analysis
- Wall thickness and wall thickening measurements
- Wall thickness changes over time
- Results are displayed within curves or bulls eye
- Display of results in AHA 16 segment model
Other features include
- Visual scoring for wall motion, perfusion and infarct size
Alfakih, Khaled, et al. “Normal human left and right ventricular dimensions for MRI as assessed by turbo gradient echo and steady‐state free precession imaging sequences.” Journal of Magnetic Resonance Imaging 17.3 (2003): 323-329.
Driessen, Mieke MP, et al. “Pressure overloaded right ventricles: a multicenter study on the importance of trabeculae in RV function measured by CMR.” The international journal of cardiovascular imaging 30.3 (2014): 599-608.
Mooij, Christiaan F., et al. “Reproducibility of MRI measurements of right ventricular size and function in patients with normal and dilated ventricles.” Journal of Magnetic Resonance Imaging 28.1 (2008): 67-73.
Luijnenburg, Saskia E., et al. “Intra-observer and interobserver variability of biventricular function, volumes and mass in patients with congenital heart disease measured by CMR imaging.” The international journal of cardiovascular imaging 26.1 (2010): 57-64.
Tao, Qian, et al. “Deep learning–based method for fully automatic quantification of left ventricle function from cine MR images: a multivendor, multicenter study.” Radiology (2018): 180513.
Did you know that ?
Function is also possible with CT using the exact same post processing method? Because of the streamlined analysis workflow, Medis Suite allows you to compare CT and MR function studies with the highest diagnostic confidence.
Contours traced during the LV function analysis can be loaded into the QStrain app for subsequent strain analysis based on features tracking MR