ArticleArXiv2024
BOOSTING SKULL-STRIPPING PERFORMANCE FOR PEDIATRIC BRAIN IMAGES.
William Kelley, Nathan Ngo, Adrian V Dalca, Bruce Fischl, Lilla Zöllei, Malte Hoffmann
Abstract readPreprint
In one paragraphArticle in ArXiv, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
6 authors.
William KelleyAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA 02129, USA.
Nathan NgoAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA 02129, USA.
Adrian V DalcaAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA 02129, USA.
Bruce FischlAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA 02129, USA.
Lilla ZölleiAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA 02129, USA.
Malte HoffmannAthinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA 02129, USA.
Funding
BRAIN CONNECTS: The center for Large-scale Imaging of Neural Circuits (LINC)UM1NS132358 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Suzanne N Haber, Elizabeth M. C. Hillman · 2023 to 2026
$17.5MMRI, Genetics &Cognitive Precursors of AD &DementiaR01AG016495 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 1999 to 2016
$12.5MThe Human Connectome Project (HCP)U01MH093765 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2010 to 2014
$12.1MTraining and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9MProject 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8MImaging and Analysis Techniques to Construct a Cell Census Atlas of the Human Brain Admin SupplementU01MH117023 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A, FISCHL, BRUCE · 2018 to 2022
$7.6MFreeSurfer Development, Maintenance, and HardeningR01EB023281 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl, Douglas Nowlin Greve · 2016 to 2026
$5.6MA Longitudinal Analysis Stream for FreeSurferR01NS083534 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl · 2014 to 2026
$4.6MBRAIN CONNECTS: Mapping Connectivity of the Human Brainstem in a Nuclear Coordinate SystemU01NS132181 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FISCHL, BRUCE, HOF, PATRICK R · 2023 to 2025
$4.2MBrainstem Arousal Network in Human Consciousness: Healthy development vs SIDSR01HD102616 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI Lilla Zollei · 2021 to 2026
$3.5MSegmenting Brain Structures for Neurological DisordersR01NS105820 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl · 2019 to 2026
$3.2MNeuroimaging and gut microbiome markers of development in HIV-exposed uninfected infantsR01HD093578 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI HOLMES, MARTHA, KABA, MAMADOU · 2017 to 2022
$2.9MNCRR NIH HHS S10 RR019307NCRR NIH HHS S10 RR023043NCRR NIH HHS S10 RR023401NIA NIH HHS R01 AG016495NIA NIH HHS R01 AG070988NIA NIH HHS R21 AG082082NIA NIH HHS R56 AG064027NIBIB NIH HHS P41 EB015896NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB019956NIBIB NIH HHS R01 EB023281NIBIB NIH HHS R01 EB033773NIBIB NIH HHS R21 EB018907NICHD NIH HHS R00 HD101553NICHD NIH HHS R01 HD085813NICHD NIH HHS R01 HD093578NICHD NIH HHS R01 HD102616NICHD NIH HHS R01 HD109436NICHD NIH HHS R21 HD106038NIMH NIH HHS RF1 MH121885NIMH NIH HHS RF1 MH123195NIMH NIH HHS U01 MH093765NIMH NIH HHS U01 MH117023NINDS NIH HHS R01 NS070963NINDS NIH HHS R01 NS083534NINDS NIH HHS R01 NS105820NINDS NIH HHS U01 NS132181NINDS NIH HHS UM1 NS132358
6 · The paper itselfAbstract
Skull-stripping is the removal of background and non-brain anatomical features from brain images. While many skull-stripping tools exist, few target pediatric populations. With the emergence of multi-institutional pediatric data acquisition efforts to broaden the understanding of perinatal brain development, it is essential to develop robust and well-tested tools ready for the relevant data processing. However, the broad range of neuroanatomical variation in the developing brain, combined with additional challenges such as high motion levels, as well as shoulder and chest signal in the images, leaves many adult-specific tools ill-suited for pediatric skull-stripping. Building on an existing framework for robust and accurate skull-stripping, we propose developmental SynthStrip (d-SynthStrip), a skull-stripping model tailored to pediatric images. This framework exposes networks to highly variable images synthesized from label maps. Our model substantially outperforms pediatric baselines across scan types and age cohorts. In addition, the <1-minute runtime of our tool compares favorably to the fastest baselines. We distribute our model at https://w3id.org/synthstrip.
Indexed as
brain extractioninfantmachine learningnew-bornpediatric MRIskull-strippingtoddler
Identifiers
PMID38463507
PMCPMC10925384
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