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Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
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Optimal Sensor Selection for Motion-Corrected Supine Breast MRI With a Wearable Coil.

Karyna Isaieva, Nicolas Weber, Lena Nohava

    IEEE Transactions on Bio-Medical Engineering
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    PubMed
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    For supine breast MRI with a wearable coil, using all accelerometers with 2D T2-weighted images provides the best motion correction. This approach minimizes artifacts and enhances diagnostic accuracy.

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    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Radiology

    Background:

    • Supine breast MRI offers advantages but is susceptible to motion artifacts.
    • Wearable radio frequency coils (BraCoil) require effective motion correction.

    Purpose of the Study:

    • To identify the optimal combination of motion sensors for superior motion correction in supine breast MRI.
    • To evaluate motion correction quality using a wearable coil and GRICS algorithm.

    Main Methods:

    • Acquired T2-weighted 2D and T1-weighted 3D sequences in volunteers.
    • Reconstructed images using GRICS algorithm with data from respiratory belts or accelerometers.
    • Evaluated motion models against dynamic MRI and assessed image quality quantitatively and radiologically.

    Main Results:

    • Motion prediction from 2D T2w images was more accurate than from low-resolution 3D T1w images.
    • Using all accelerometers significantly improved image quality compared to a respiratory belt.
    • Combined sensor data yielded superior motion correction, with no specific optimal sensor position found.

    Conclusions:

    • A motion model from 2D T2w images and all accelerometers offers the best motion correction for supine breast MRI with a wearable coil.
    • Appropriate physiological sensor selection minimizes motion artifacts, potentially improving diagnostic accuracy.