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    Imaging

    Reducing scan times in MRI knee examinations

    1min
    Published on December 5, 2017

    Knee examinations are the third most common type of MRI examination, accounting for 11 percent of all scans.2 At present, a standard knee examination can take around 20 minutes. By cutting the scan time in half and reducing routine work for radiology staff, our new application GOKnee3D1 is making a key contribution to boosting MRI productivity. It also helps to reduce patient wait times and improve patient experience during examinations.


    With GOKnee3D1, a high-resolution, diagnostic 3D knee exam can be acquired in 10 minutes3. The acquisition of high-resolution isotropic 3D images subsequently allows flexible evaluation of the images in all possible planes including double oblique and curved planar.


    The innovative volume acquisition is based on a CAIPIRINHA SPACE protocol1, which enables higher scan speeds and optimal image reconstruction with better signal quality than with previous technologies. To develop and clinically validate the technique, Siemens Healthineers partnered with Johns Hopkins University in Baltimore, USA.

    “GOKnee3D enables comprehensive evaluation of internal derangement to the knee.”

    Jan Fritz, MD, of the Johns Hopkins University School of Medicine, Baltimore, USA

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    1. The product is pending 510(k) clearance and is not yet commercially available in the U.S.

    2. Based on the evaluation of 6.73 million Siemens Healthineers MRI exams conducted in 2016.

    3. Achieved on a Magnetom Skyra with Tx/Rx Knee 15. Total examination time will vary with system field strength with up to 11 minutes on Magnetom Aera.

    1. The products/features (here mentioned) are not commercially available in all countries. Due to regulatory reasons their future availability cannot be guaranteed. Further details are available from the local Siemens organizations.
    2. The statements by Siemens’ customers described herein are based on results that were achieved in the customer's unique setting. Since there is no "typical" hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.