医学
图像质量
前列腺
磁共振成像
前列腺癌
扫描仪
医学物理学
质量(理念)
人工智能
放射科
计算机视觉
图像(数学)
计算机科学
癌症
内科学
哲学
认识论
作者
Tristan Barrett,Kang‐Lung Lee,Maarten de Rooij,Francesco Giganti
标识
DOI:10.1016/j.rcl.2023.06.006
摘要
Prostate MR imaging quality has improved dramatically over recent times, driven by advances in hardware, software, and improved functional imaging techniques. MRI now plays a key role in prostate cancer diagnostic work-up, but outcomes of the MRI-directed pathway are heavily dependent on image quality and optimization. MR sequences can be affected by patient-related degradations relating to motion and susceptibility artifacts which may enable only partial mitigation. In this Review, we explore issues relating to prostate MRI acquisition and interpretation, mitigation strategies at a patient and scanner level, PI-QUAL reporting, and future directions in image quality, including artificial intelligence solutions.
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