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《人类胎儿脑部磁共振成像图谱：胎儿脑部磁共振成像分析的参考与分割工具》

An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis.

作者信息

Bagheri Mahdi, Velasco-Annis Clemente, Wang Jian, Faghihpirayesh Razieh, Khan Shadab, Calixto Camilo, Jaimes Camilo, Vasung Lana, Ouaalam Abdelhakim, Afacan Onur, Warfield Simon K, Rollins Caitlin K, Gholipour Ali

机构信息

University of California Irvine, Department of Radiological Sciences, Irvine, CA 92617, USA.

Boston Children's Hospital and Harvard Medical School, Department of Radiology, Boston, MA 02115, USA.

出版信息

ArXiv. 2025 Aug 28:arXiv:2508.15034v2.

PMID:40900685
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12393236/
Abstract

Accurate characterization of in-utero brain development is essential for understanding typical and atypical neurodevelopment. Building upon previous efforts to construct spatiotemporal fetal brain MRI atlases, we present the CRL-2025 fetal brain atlas, which is a spatiotemporal (4D) atlas of the developing fetal brain between 21 and 37 gestational weeks. This atlas is constructed from carefully processed MRI scans of 160 fetuses with typically-developing brains using a diffeomorphic deformable registration framework integrated with kernel regression on age. CRL-2025 uniquely includes detailed tissue segmentations, transient white matter compartments, and parcellation into 126 anatomical regions. This atlas offers significantly enhanced anatomical details over the CRL-2017 atlas, and is released along with the CRL diffusion MRI atlas with its newly created tissue segmentation and labels as well as deep learning-based multiclass segmentation models for fine-grained fetal brain MRI segmentation. The CRL-2025 atlas and its associated tools provide a robust and scalable platform for fetal brain MRI segmentation, groupwise analysis, and early neurodevelopmental research, and these materials are publicly released to support the broader research community.

摘要

准确描述子宫内脑发育对于理解典型和非典型神经发育至关重要。在先前构建时空胎儿脑MRI图谱的基础上，我们展示了CRL - 2025胎儿脑图谱，它是妊娠21至37周发育中胎儿脑的时空（4D）图谱。该图谱由160例脑发育正常胎儿的精心处理的MRI扫描构建而成，使用了与年龄核回归相结合的微分同胚可变形配准框架。CRL - 2025独特地包括详细的组织分割、短暂性白质区室以及划分为126个解剖区域。与CRL - 2017图谱相比，该图谱显著增强了解剖细节，并与CRL扩散MRI图谱一同发布，其具有新创建的组织分割和标签以及基于深度学习的多类分割模型，用于细粒度胎儿脑MRI分割。CRL - 2025图谱及其相关工具为胎儿脑MRI分割、组间分析和早期神经发育研究提供了一个强大且可扩展的平台，并且这些材料已公开发布以支持更广泛的研究群体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/05759d6e983d/nihpp-2508.15034v2-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/05ea7cecd76c/nihpp-2508.15034v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/d58a83bd4e1f/nihpp-2508.15034v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/73860a1c59e1/nihpp-2508.15034v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/d6c9ae54599f/nihpp-2508.15034v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/6afc2e8d056e/nihpp-2508.15034v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/05759d6e983d/nihpp-2508.15034v2-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/05ea7cecd76c/nihpp-2508.15034v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/d58a83bd4e1f/nihpp-2508.15034v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/73860a1c59e1/nihpp-2508.15034v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/d6c9ae54599f/nihpp-2508.15034v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/6afc2e8d056e/nihpp-2508.15034v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e63/12400905/05759d6e983d/nihpp-2508.15034v2-f0006.jpg

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本文引用的文献

1
A detailed spatiotemporal atlas of the white matter tracts for the fetal brain.胎儿脑白质束的详细时空图谱。
Proc Natl Acad Sci U S A. 2025 Jan 7;122(1):e2410341121. doi: 10.1073/pnas.2410341121. Epub 2024 Dec 30.
2
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results.2022年多中心胎儿脑组织标注（FeTA）挑战赛结果
IEEE Trans Med Imaging. 2025 Mar;44(3):1257-1272. doi: 10.1109/TMI.2024.3485554. Epub 2025 Mar 17.
3
Advances in Fetal Brain Imaging.胎儿脑成像进展。
Magn Reson Imaging Clin N Am. 2024 Aug;32(3):459-478. doi: 10.1016/j.mric.2024.03.004. Epub 2024 Apr 29.
4
Fetal brain MRI atlases and datasets: A review.胎儿脑 MRI 图谱和数据集：综述。
Neuroimage. 2024 Apr 15;292:120603. doi: 10.1016/j.neuroimage.2024.120603. Epub 2024 Apr 6.
5
Brain structural and functional outcomes in the offspring of women experiencing psychological distress during pregnancy.孕期经历心理困扰的女性的后代的大脑结构和功能结果。
Mol Psychiatry. 2024 Jul;29(7):2223-2240. doi: 10.1038/s41380-024-02449-0. Epub 2024 Feb 28.
6
A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation.基于 Dempster-Shafer 理论的可信人工智能方法及其在胎儿脑 MRI 分割中的应用。
IEEE Trans Pattern Anal Mach Intell. 2024 May;46(5):3784-3795. doi: 10.1109/TPAMI.2023.3346330. Epub 2024 Apr 3.
7
Characterizing microstructural development in the fetal brain using diffusion MRI from 23 to 36 weeks of gestation.使用扩散 MRI 技术从妊娠 23 周到 36 周描绘胎儿大脑的微观结构发育。
Cereb Cortex. 2024 Jan 14;34(1). doi: 10.1093/cercor/bhad409.
8
Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years.正常胎儿脑成熟的时空模式，2 岁时发育良好。
Nature. 2023 Nov;623(7985):106-114. doi: 10.1038/s41586-023-06630-3. Epub 2023 Oct 25.
9
Heterogeneous growth of the insula shapes the human brain.岛叶的异质性生长塑造了人类大脑。
Proc Natl Acad Sci U S A. 2023 Jun 13;120(24):e2220200120. doi: 10.1073/pnas.2220200120. Epub 2023 Jun 6.
10
Fetal brain tissue annotation and segmentation challenge results.胎儿脑组织标注和分割挑战赛结果。
Med Image Anal. 2023 Aug;88:102833. doi: 10.1016/j.media.2023.102833. Epub 2023 Apr 22.