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An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis
by
Wang, Jian
, Khan, Shadab
, Afacan, Onur
, Rollins, Caitlin K
, Ouaalam, Abdelhakim
, Jaimes, Camilo
, Velasco-Annis, Clemente
, Gholipour, Ali
, Calixto, Camilo
, Bagheri, Mahdi
, Faghihpirayesh, Razieh
, Warfield, Simon K
, Vasung, Lana
in
Brain
/ Fetuses
/ Formability
/ Image segmentation
2026
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An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis
by
Wang, Jian
, Khan, Shadab
, Afacan, Onur
, Rollins, Caitlin K
, Ouaalam, Abdelhakim
, Jaimes, Camilo
, Velasco-Annis, Clemente
, Gholipour, Ali
, Calixto, Camilo
, Bagheri, Mahdi
, Faghihpirayesh, Razieh
, Warfield, Simon K
, Vasung, Lana
in
Brain
/ Fetuses
/ Formability
/ Image segmentation
2026
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Do you wish to request the book?
An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis
by
Wang, Jian
, Khan, Shadab
, Afacan, Onur
, Rollins, Caitlin K
, Ouaalam, Abdelhakim
, Jaimes, Camilo
, Velasco-Annis, Clemente
, Gholipour, Ali
, Calixto, Camilo
, Bagheri, Mahdi
, Faghihpirayesh, Razieh
, Warfield, Simon K
, Vasung, Lana
in
Brain
/ Fetuses
/ Formability
/ Image segmentation
2026
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An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis
Paper
An MRI Atlas of the Human Fetal Brain: Reference and Segmentation Tools for Fetal Brain MRI Analysis
2026
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Overview
Characterizing in-utero brain development is essential for understanding typical and atypical neurodevelopment. Building on prior spatiotemporal fetal brain MRI atlases, we present the CRL-2025 fetal brain atlas, a spatiotemporal (4D) atlas of the developing fetal brain between 21 and 37 gestational weeks. This atlas is constructed from MRI scans of 159 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. It offers significantly enhanced anatomical details over the CRL-2017 atlas and is presented along with a re-release of the CRL diffusion MRI atlas featuring newly created tissue segmentation and labels. We release de-identified, processed subject-level fetal MRI datasets used to generate CRL-2025, providing input-output transparency and reproducibility. We also provide FetalSEG, a deep learning-based multiclass segmentation tool to facilitate automatic fetal brain MRI segmentation. The CRL-2025 atlas and its tools enable scalable fetal brain MRI segmentation, analysis, and neurodevelopmental research for the broader community.
Publisher
Cornell University Library, arXiv.org
Subject
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