医学
对比度(视觉)
图像质量
深度学习
人工智能
核医学
放射科
图像(数学)
计算机科学
作者
Mona Kharaji,Gádor Cantón,Yin Biao Guo,Mohamad Hosaam Mosi,Zechen Zhou,Niranjan Balu,Mahmud Mossa‐Basha
摘要
Accelerated and blood-suppressed postcontrast 3D intracranial vessel wall MRI (IVW) enables high-resolution rapid scanning but is associated with low SNR. We hypothesized that a deep-learning (DL) denoising algorithm applied to accelerated, blood-suppressed postcontrast IVW can yield high-quality images with reduced artifacts and higher SNR in shorter scan times.
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