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Medis Medical Imaging Systems B.V.
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  5. Medis - Version QFR - Quantitative Flow ...

Medis - Model QFR - Quantitative Flow Ratio Software

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Fast, user-friendly, non-invasive coronary physiology powered by AI deep learning.
Most popular related searches
X-ray imaging
flow velocity
flow modeling
X-ray analysis
automatic analysis
pressure reducer
Proven Accuracy

QFR® is proven to have good correlation and agreement with FFR, by 15.000+ patients and 17.000+ lesions in 150+ peer-reviewed articles.

Time & Cost Efficiency

No pressure wire, no adenosine, reduces treatment costs and procedure time.

User Friendly

Simpler intuitive workflow, applicable for online and offline usage.

Quality Control

QFR® can be used for the assessment of the results post-PCI, thereby facilitating quality control.

Saving 2nd Intervention Procedure

QFR® allows assessment of non-culprit lesions to decide on Yes or No stages procedure, potentially saving the second intervention procedure

What is Medis QFR® ?

Medis QFR® offers a simple, intuitive workflow, applicable for online and offline usage to fit your clinical needs.

Image Acquisition

  • Can be applied to monoplane and biplane system to fit the local clinical settings.
  • Automated calibration based on Isocenter data.
  • Patented acquisition guiding toll for optimal X-ray angulation

Image Analysis

Automated calibration based on Isocenter data Medis QFR® provides 2 different flow models:

  • Fixed flow QFR®, using fixed flow velocity.
  • Contrast QFR® based on the contrast frame count. Automatic Frame Counting or Manual Frame Counting

QFR® Results

  • 3D anatomic info for stent sizing
  • Allows prioritization of serial lesions
  • Residual QFR® predicts the effect of an intervention on the resulting QFR® value
  • User Lesion: Lesions can be combined by adding user lesion, so the lesion can be compared for optimal treatment planning
  • What is new in the latest version of Medis QFR® ?

What is new in the latest version of Medis QFR®?

  • Automatic selection of the optimal ED phase based on Artificial Intelligence applied to the X-ray image run; does not require an ECG-signal. The QFR analysis is then based on that single frame (of course from the 2 views), which simplifies the workflow
  • Enhancement in Automatic Frame count for flow velocity assessment
  • Essential and advanced clinical report options
  • The derivative of the QFR-function (d(QFR)/ds) is a new parameter that differentiates focal from diffuse disease; is available in the research edition