Fully automated planning for anatomical fetal brain MRI on 0.55T

Neves Silva S, McElroy S, Aviles Verdera J, Colford K, St Clair K, Tomi-Tricot R, Uus A, Ozenne V, Hall M, Story L, Pushparajah K, Rutherford MA, Hajnal JV, Hutter J (2024)

Publication Type: Journal article

Publication year: 2024

Journal

Magnetic Resonance in Medicine Wiley

DOI: 10.1002/mrm.30122

Abstract

Purpose: Widening the availability of fetal MRI with fully automatic real-time planning of radiological brain planes on 0.55T MRI. Methods: Deep learning-based detection of key brain landmarks on a whole-uterus echo planar imaging scan enables the subsequent fully automatic planning of the radiological single-shot Turbo Spin Echo acquisitions. The landmark detection pipeline was trained on over 120 datasets from varying field strength, echo times, and resolutions and quantitatively evaluated. The entire automatic planning solution was tested prospectively in nine fetal subjects between 20 and 37 weeks. A comprehensive evaluation of all steps, the distance between manual and automatic landmarks, the planning quality, and the resulting image quality was conducted. Results: Prospective automatic planning was performed in real-time without latency in all subjects. The landmark detection accuracy was 4.2 (Formula presented.) 2.6 mm for the fetal eyes and 6.5 (Formula presented.) 3.2 for the cerebellum, planning quality was 2.4/3 (compared to 2.6/3 for manual planning) and diagnostic image quality was 2.2 compared to 2.1 for manual planning. Conclusions: Real-time automatic planning of all three key fetal brain planes was successfully achieved and will pave the way toward simplifying the acquisition of fetal MRI thereby widening the availability of this modality in nonspecialist centers.

Authors with CRIS profile

Jana Hutter Professur für Smart Imaging and Data Profiling

Involved external institutions

Université de Bordeaux FR France (FR) King’s College London GB United Kingdom (GB)

How to cite

APA:

Neves Silva, S., McElroy, S., Aviles Verdera, J., Colford, K., St Clair, K., Tomi-Tricot, R.,... Hutter, J. (2024). Fully automated planning for anatomical fetal brain MRI on 0.55T. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.30122

MLA:

Neves Silva, Sara, et al. "Fully automated planning for anatomical fetal brain MRI on 0.55T." Magnetic Resonance in Medicine (2024).

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