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

M Hoffmann, E Abaci Turk, B Gagoski… - … journal of imaging …, 2021 - Wiley Online Library
M Hoffmann, E Abaci Turk, B Gagoski, L Morgan, P Wighton, MD Tisdall, M Reuter
International journal of imaging systems and technology, 2021Wiley Online Library
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 …
Abstract
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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