The 4D Human Embryonic Brain Atlas: Spatiotemporal atlas generation for rapid anatomical changes

Early brain development is crucial for lifelong neurodevelopmental health. However, current clinical practice offers limited knowledge of normal embryonic brain anatomy on ultrasound, despite the brain undergoing rapid changes within the time-span of days. To provide detailed insights into normal brain development and identify deviations, we created the 4D Human Embryonic Brain Atlas using a deep learning-based approach for groupwise registration and spatiotemporal atlas generation. Our method introduced a time-dependent initial atlas and penalized deviations from it, ensuring age-specific anatomy was maintained throughout rapid development. The atlas was generated and validated using 831 3D ultrasound images from 402 subjects in the Rotterdam Periconceptional Cohort, acquired between gestational weeks 8 and 12. We evaluated the effectiveness of our approach with an ablation study, which demonstrated that incorporating a time-dependent initial atlas and penalization produced anatomically accurate results. In contrast, omitting these adaptations led to an anatomically incorrect atlas. Visual comparisons with an existing ex-vivo embryo atlas further confirmed the anatomical accuracy of our atlas. In conclusion, the proposed method successfully captures the rapid anatomical development of the embryonic brain. The resulting 4D Human Embryonic Brain Atlas provides a unique insights into this crucial early life period and holds the potential for improving the detection, prevention, and treatment of prenatal neurodevelopmental disorders.

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Publication Details

Journal
Computerized Medical Imaging and Graphics
Published
2026-01-14
DOI
https://doi.org/10.1016/j.compmedimag.2026.102702
Primary Topic
Fetal and Pediatric Neurological Disorders
Type
article
Field-Weighted Citation Impact
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article

The 4D Human Embryonic Brain Atlas: Spatiotemporal atlas generation for rapid anatomical changes

Bernadette S. de Bakker, Melek Rousian, Anton H. J. Koning, Wiro J. Niessen et al.
Computerized Medical Imaging and Graphics
Fetal and Pediatric Neurological Disorders
article

The 4D Human Embryonic Brain Atlas: Spatiotemporal atlas generation for rapid anatomical changes

Bernadette S. de Bakker, Melek Rousian, Anton H. J. Koning, Wiro J. Niessen, R.égine P.M Steegers-Theunissen, Stefan Klein, Wietske A.P. Bastiaansen
article en

Abstract

Early brain development is crucial for lifelong neurodevelopmental health. However, current clinical practice offers limited knowledge of normal embryonic brain anatomy on ultrasound, despite the brain undergoing rapid changes within the time-span of days. To provide detailed insights into normal brain development and identify deviations, we created the 4D Human Embryonic Brain Atlas using a deep learning-based approach for groupwise registration and spatiotemporal atlas generation. Our method introduced a time-dependent initial atlas and penalized deviations from it, ensuring age-specific anatomy was maintained throughout rapid development. The atlas was generated and validated using 831 3D ultrasound images from 402 subjects in the Rotterdam Periconceptional Cohort, acquired between gestational weeks 8 and 12. We evaluated the effectiveness of our approach with an ablation study, which demonstrated that incorporating a time-dependent initial atlas and penalization produced anatomically accurate results. In contrast, omitting these adaptations led to an anatomically incorrect atlas. Visual comparisons with an existing ex-vivo embryo atlas further confirmed the anatomical accuracy of our atlas. In conclusion, the proposed method successfully captures the rapid anatomical development of the embryonic brain. The resulting 4D Human Embryonic Brain Atlas provides a unique insights into this crucial early life period and holds the potential for improving the detection, prevention, and treatment of prenatal neurodevelopmental disorders.

Computerized Medical Imaging and GraphicsVol. 128
University Medical Center Groningen (NL), Erasmus MC (NL), Amsterdam Neuroscience (NL), Erasmus MC Cancer Institute (NL), Amsterdam University Medical Centers (NL), University of Amsterdam (NL), Erasmus University Rotterdam (NL)
Openalex Percentile: Top 89%
Fetal and Pediatric Neurological Disorders
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