Abstract #0015

FetalSR: Super-resolving High-isotropic-resolution Image Volume from Single Thick-slice Stack with Deep Learning for Fetal Brain Morphometry

Hongjia Yang¹, Mingxuan Liu¹, Yi Liao², Haoxiang Li¹, Juncheng Zhu², Zihan Li¹, Jize Zhang³, Jialan Zheng^1,4, Ziyu Li⁵, Haibo Qu², and Qiyuan Tian^1,6

¹School of Biomedical Engineering, Tsinghua University, Beijing, China, ²West China Second University Hospital, Chengdu, China, ³Wellcome Centre for Integrative Neuroimaging, OHBA, Department of Psychiatry, University of Oxford, Oxford, United Kingdom, ⁴Tanwei College, Tsinghua University, Beijing, China, ⁵Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, ⁶Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Beijing, China

Synopsis

Keywords: Fetal, Brain, Super-resolution, Brain morphology, Development

Motivation: High-resolution volume reconstruction is crucial for fetal brain MRI studies. Current methods, such as NiftyMIC, require thick-slice stacks acquired in at least three different orientations, which is time-consuming and prone to failure due to motion artifact.

Goal(s): To reconstruct high-isotropic-resolution fetal brain MRI volume from a single thick-slice stack acquired in any axial/sagittal/coronal orientation.

Approach: FetalSR pipeline consisting of an efficient slice-to-template registration workflow and a deep learning-based super-resolution reconstruction approach is proposed.

Results: FetalSR provides high-quality high-resolution images highly similar to reference images, accurate results in downstream brain tissue segmentation tasks, and robustness to cases that conventional NiftyMIC method fails to reconstruct.

Impact: FetalSR minimizes data needed for high-isotropic-resolution fetal brain volume reconstruction, reduces scan time and increases reconstruction robustness. It enables quantification of brain morphological features of developmental and abnormal fetuses in large-scale and a wider range of clinical and neuroscientific studies.

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