PurposeWidening the availability of fetal MRI with fully automatic real‐time planning of radiological brain planes on 0.55T MRI.MethodsDeep learning‐based detection of key brain landmarks on a whole‐uterus echo planar imaging scan enables the subsequent fully automatic planning of the radiological single‐shot Turbo Spin Echo acquisitions. The landmark detection pipeline was trained on over 120 datasets from varying field strength, echo times, and resolutions and quantitatively evaluated. The entire automatic planning solution was tested prospectively in nine fetal subjects between 20 and 37 weeks. A comprehensive evaluation of all steps, the distance between manual and automatic landmarks, the planning quality, and the resulting image quality was conducted.ResultsProspective automatic planning was performed in real‐time without latency in all subjects. The landmark detection accuracy was 4.2 2.6 mm for the fetal eyes and 6.5 3.2 for the cerebellum, planning quality was 2.4/3 (compared to 2.6/3 for manual planning) and diagnostic image quality was 2.2 compared to 2.1 for manual planning.ConclusionsReal‐time automatic planning of all three key fetal brain planes was successfully achieved and will pave the way toward simplifying the acquisition of fetal MRI thereby widening the availability of this modality in nonspecialist centers.

中文翻译：

---

在 0.55T 上全自动规划胎儿脑部 MRI 解剖

目的通过在 0.55T MRI 上全自动实时规划放射学脑平面来扩大胎儿 MRI 的可用性。方法基于深度学习的全子宫回波平面成像扫描上关键脑标志的检测使得后续的放射学单次全自动规划成为可能。 ‐拍摄 Turbo Spin Echo 收购。地标检测管道在 120 多个来自不同场强、回波时间和分辨率的数据集上进行了训练，并进行了定量评估。整个自动计划解决方案在九名 20 至 37 周的胎儿受试者中进行了前瞻性测试。对所有步骤、手动和自动地标之间的距离、规划质量以及最终图像质量进行综合评估。结果所有受试者均实时无延迟地进行前瞻性自动规划。胎儿眼睛的地标检测精度为 4.2 ± 2.6 毫米，小脑的地标检测精度为 6.5 ± 3.2 毫米，规划质量为 2.4/3（手动规划为 2.6/3），诊断图像质量为 2.2，而手动规划为 2.1。结论真实‐成功实现了所有三个关键胎儿大脑平面的自动规划，这将为简化胎儿 MRI 的采集铺平道路，从而扩大这种模式在非专科中心的可用性。