In fetal-brain MRI, head-pose changes between prescription and acquisition present a challenge to obtaining the standard sagittal, coronal and axial views essential to clinical assessment. As motion limits acquisitions to thick slices that preclude retrospective resampling, technologists repeat ~55-second stack-of-slices scans (HASTE) with incrementally reoriented field of view numerous times, deducing the head pose from previous stacks. To address this inefficient workflow, we propose a robust head-pose detection algorithm using full-uterus scout scans (EPI) which take ~5 seconds to acquire. Our ~2-second procedure automatically locates the fetal brain and eyes, which we derive from maximally stable extremal regions (MSERs). The success rate of the method exceeds 94% in the third trimester, outperforming a trained technologist by up to 20%. The pipeline may be used to automatically orient the anatomical sequence, removing the need to estimate the head pose from 2D views and reducing delays during which motion can occur.

翻译：在胎儿脑部核磁共振中,处方和进方之间的头部变化对获得临床评估所必需的标准剖面、日冕和轴心观点构成了挑战。作为运动限制获取排除追溯再采样的厚切片,技术专家重复了~55秒的切片扫描(HASTE),多次对视场进行渐进调整,从以前的堆堆堆中将头部姿势降低。为了应对这一效率低下的工作流程,我们建议使用全子座侦察扫描(EPI)进行稳健的头部检测算法,该算法需要花费~5秒的时间才能获得。我们的~2秒程序自动定位胎儿的大脑和眼睛,这是我们从最稳定的极端区域(MSERs)获得的。该方法的成功率超过第三季度的94%,比受过训练的技术人员高20%。管道可用于自动调整解剖序列,从2D视图中排除估计头部姿势的需要,并减少运动期间的延误。