Rapid head-pose detection for automated slice prescription of fetal-brain MRI.

Rapid head-pose detection for automated slice prescription of fetal-brain MRI.
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胎儿脑MRI自动切片处方的快速头位检测。

DOI:
10.1002/ima.22563
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发表时间:
2021-09
影响因子:
3.3
通讯作者:
van der Kouwe AJW
van der Kouwe AJW
中科院分区:
计算机科学4区
文献类型:
--
作者:
Hoffmann M;Turk EA;Gagoski B;Morgan L;Wighton P;Tisdall MD;Reuter M;Adalsteinsson E;Grant PE;Wald LL;van der Kouwe AJW

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在胎脑MRI中,在处方和获取之间的头部姿势变化对获得临床评估所必需的标准矢状面、冠状面和轴面图是一个挑战。由于运动将采集限制到厚切片,从而无法进行回溯性重采样,技术人员多次重复约55秒的切片堆叠扫描(HASTE),以递增地重新定向视野,根据之前的堆叠推断头部姿势。为了解决这一效率低下的工作流程,我们提出了一种健壮的头部姿势检测算法,该算法使用全子宫扫描(EPI),采集时间为~5秒。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(MSER)获得的。该方法的成功率在妊娠晚期超过94%,比训练有素的技术专家高出20%。该管道可用于自动定位解剖序列,消除了从2D视图估计头部姿势的需要,并减少了在其间可能发生运动的延迟。
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.
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