Time is valuable in clinical practice. CAAS MRV is optimized to fit in the clinical practice with an intuitive and guided workflow. Each workflow, functional, viability and first pass perfusion, will guide you through the required steps. Results are presented in a clear overview dedicated for cardiology and radiology. Key Product Features Functional analysis
  • Automatic, semi-automatic and manual segmentation of left and right ventricle
  • Segmentation of endo-, epicardial and papillary contours
  • Use long-axis (2 and 4 chamber) images to optimize the quantification results
  • Save analysis as a re-analysis file and re-load it later
Viability analysis
  • Automatic infarct detection
  • Delayed enhanced viability and myocardial edema analysis
  • All result types are supported by the AHA 17 segment model
  • Save analysis as a re-analysis file and re-load it later
First-pass perfusion analysis
  • Breathing motion correction
  • All result types are supported by the AHA 17 segment model
  • Save analysis as a re-analysis file and re-load it later
Tissue mapping
  • Analyze T1, T2, T2* relaxtion values
  • Parametric color maps
  • Save analysis as a re-analysis file and re-load it later
In the US, Viability analysis, Perfusion analysis and T1 Tissue mapping are for research use only and not meant for clinical decision support.  
The American Heart Association (AHA) 17 segment model is supported for all result types. Results are available in graphs, bulls’ eyes and tables. Key Results Functional analysis
  • Ejection fraction
  • End diastolic and end systolic volumes
  • Myocardial mass
  • Wall motion, thickness and thickening
Viability analysis
  • Infarct volume and transmurality
  • Amount of non-viable and viable tissue
  • Salvageable area index
First-pass perfusion analysis
  • Time-Intensity curve parameters
  • Myocardial Perfusion Reserve Index (MPRi) derived by comparing rest and stress
Tissue mapping
  • T1, T2, T2* relaxation values
  • Parametric color maps
In the US, Viability analysis, Perfusion analysis and Tissue mapping are for research use only and not meant for clinical decision support
Key Publications
  • Van Geuns RJM, Baks T, Gronenschild EHBM, Aben, JPMM, Wielopolski PA, Cademartiri F, De Feyter PJ. Automatic Quantitative Left Ventricular Analysis of Cine MR Images by Using Three dimensional Information for Contour Detection. Radiology 2006; 240: 215-221
  • Kirschbaum SW, Baks T, Gronenschild EH, Aben JP, Weustink AC, Wielopolski PA, Krestin GP, De Feyter PJ, Van Geuns RJM. Addition of the Long-Axis Information to Short-Axis Contours Reduces Interstudy Variability of Left-Ventricular Analysis in Cardiac Magnetic Resonance Studies. Investigative Radiology 2008; 43(1):1-6
  • Kirschbaum S, Aben JP, Baks T, Moelker A, Gruszczynska K, Krestin GP, Van der Giessen WJ, Duncker DJ, De Feyter PJ, Van Geuns RJM. Accurate Automatic Papillary Muscle Identification for Quantitative Left Ventricular Mass Measurements in Cardiac Magnetic Resonance Imaging. Academic Radiology 2008; 15(10):1227-33
  • Heijman E, Aben JP, Penners C, Niessen P, Guillaume R, Van Eys G, Nicolay K, Strijkers GJ.  Evaluation of manual and automatic segmentation of the mouse heart from CINE MR images. Journal of Magnetic Resonance Imaging 2007; 27(1):86-93