Abstract #0942

Towards Integrating 3D Fetal Brain Slice-to-Volume Reconstruction in a 0.55T Scanner Environment with Gadgetron

Sara Neves Silva^1,2, Alena Uus^1,2, Jordina Aviles Verdera^1,2, Kelly Payette^1,2, Megan Hall^1,3, Kathleen Colford^1,2, Sarah McElroy^1,2,4, Raphael Tomi-Tricot^1,2,4, Maria Deprez^1,2, Joseph V Hajnal^1,2, Mary Rutherford^1,2, Lisa Story^1,3, and Jana Hutter^1,2

¹Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, ²Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, ³Department of Women & Children’s Health, King's College London, London, United Kingdom, ⁴MR Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom

Synopsis

Keywords: Data Acquisition, Data Acquisition, Fetal

Motivation: Fetal MRI is an important tool for antenatal diagnosis, allowing to assess appropriate growth with T2-weighted TSE sequences. Involuntary fetal motion is frozen in-plane with single-shot sequences, but 3D inconsistencies remain and are currently mostly addressed with offline slice-to-volume reconstruction.

Goal(s): The goal of this work is to integrate slice-to-volume reconstruction into a clinical fetal low-field scan.

Approach: A Gadgetron-based real-time pipeline including quality control, decision support, 3D reconstruction and transfer back to the scanner was implemented.

Results: The steps of the pipeline were successfully tested in-vivo in low-field fetal MRI.

Impact: The complete integration of Slice-to-Volume reconstruction into the normal clinical workflow and the resulting availability of high resolution 3D volumes during the scan overcomes challenges and current barriers of fetal MRI.

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