Intended Use

This medical device is intended to segment Cardiac chambers as anatomical structures on contrast or non-contrast MR scans of adult patients that undergo Cardiac MR procedures. The algorithm is not specific to any gender or ethnic group or clinical conditions.

Technology

The device is a containerized software application using supervised deep learning-based algorithms to automatically detect and segment left ventricular and right ventricular myocardium and chambers from DICOM-compliant cardiovascular MR images acquired by various MR scanners.

Performance

Clinical validation was performed on a retrospective cohort of 100 adult patients (50 each for Cine-ax and De-ax algorithms) from multiple scanner manufacturers (GE, Philips, Siemens) with artifact exclusion criteria. Segmentation accuracy was assessed using Dice similarity coefficients exceeding predefined thresholds across diverse patient demographics and imaging conditions, demonstrating safety and efficacy equivalent to the predicate device.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    5/9/2024

    6 months
  • 2

    FDA Approval

    11/5/2024

Other devices from TeraRecon,Inc.

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