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  • Researchers create a QIBA profile for cartilage compositional imaging

    New recommendations will help provide more reliable, reproducible results for MRI-based measurements of cartilage degeneration in the knee, helping to slow down disease and prevent progression to irreversible osteoarthritis, according to a special report published in the journal Radiology.

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  • New deep learning method boosts MRI results without requiring new data

    When patients undergo an MRI, they are told to lie still because even the slightest movement compromises the quality of the images and can create blurred spots and speckles known as artifacts. Moreover, a long acquisition time is usually required to provide high-quality MRI images. A team of researchers from Washington University in St. Louis has found a new deep learning method that can minimize artifacts and other noise in MRI images that come from movement and a short image-acquisition time.

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  • A new quantitative imaging biomarkers alliance profile for knee cartilage MRI

    New recommendations will help provide more reliable, reproducible results for MRI-based measurements of cartilage degeneration in the knee, helping to slow down disease and prevent progression to irreversible osteoarthritis, according to a special report published in the journal Radiology.

    Read more

  • Researchers find brain alterations in obese children

    Obesity is generally linked to poor eating habits and the availability of tasty, high-calorie foods. However, a new study led by researchers from the Magnetic Resonance Imaging Research Unit in the Department of Radiology at Hospital del Mar and the Barcelona Institute for Global Health (ISGlobal), a center supported by the "la Caixa" Foundation, has found that more elements are involved.

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  • New X-ray scanner could revolutionize cancer surgery, pathology, drug inspection

    Engineers at Duke University have demonstrated a prototype X-ray scanning machine that reveals not just the shape of an object but its molecular composition. With unprecedented resolution and accuracy, the technology could revolutionize a wide range of fields such as cancer surgery, pathology, drug inspection and geology.

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