CAAS MRV FARM (Magnetic Resonance Ventricular analysis For Animal Research Measurements) supports researchers in the quantitative analysis of the function and viability of the heart and myocardial perfusion of cardiac MR exams.

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 short-axis contours
  • Save your analysis as a re-analysis file and re-load it later

Viability analysis

  • Automatic infarct detection
  • All result types are supported by the AHA 17 segment model
  • Save your 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 your analysis as a re-analysis file and re-load it later

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

First Pass Perfusion analysis

  • Time-Intensity curve parameters
  • Myocardial Perfusion Reserve Index (MPRi) derived from comparing rest and stress
  • 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
  • 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