论文标题
图像质量转移增强了非洲小儿癫痫患者中低场脑MRI的对比度和分辨率
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients
论文作者
论文摘要
1.5T或3T扫描仪是临床MRI的当前标准，但由于成本和强大的权力故障原因，低场（<1T）扫描仪在许多低收入和中等收入国家仍然很常见。与现代的高场扫描仪相比，低场扫描仪在同等分辨率下提供具有较低信噪比比率的图像，从业人员使用较大的切片厚度和不完整的空间覆盖范围来补偿。此外，即使在相等的信噪比之比，不同类型的脑组织之间的对比也可以大大降低，从而限制了诊断值。最近，已经应用了图像质量转移的范式来增强0.36T结构图像，以近似典型的1.5T或3T图像的分辨率，空间覆盖范围和对比度。神经网络U-NET的一种变体是使用从公开可用的3T Human Connectome Project数据集模拟的低场图像训练的。在这里，我们提出了来自真实和模拟的临床低场脑图像的定性结果，显示了IQT在癫痫管理中易于访问的低场MRI的临床实用性的潜在值。
1.5T or 3T scanners are the current standard for clinical MRI, but low-field (<1T) scanners are still common in many lower- and middle-income countries for reasons of cost and robustness to power failures. Compared to modern high-field scanners, low-field scanners provide images with lower signal-to-noise ratio at equivalent resolution, leaving practitioners to compensate by using large slice thickness and incomplete spatial coverage. Furthermore, the contrast between different types of brain tissue may be substantially reduced even at equal signal-to-noise ratio, which limits diagnostic value. Recently the paradigm of Image Quality Transfer has been applied to enhance 0.36T structural images aiming to approximate the resolution, spatial coverage, and contrast of typical 1.5T or 3T images. A variant of the neural network U-Net was trained using low-field images simulated from the publicly available 3T Human Connectome Project dataset. Here we present qualitative results from real and simulated clinical low-field brain images showing the potential value of IQT to enhance the clinical utility of readily accessible low-field MRIs in the management of epilepsy.
