ArticleRadiology. Artificial intelligence2023
Automated MRI Lung Segmentation and 3D Morphologic Features for Quantification of Neonatal Lung Disease.
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Article in Radiology. Artificial intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7citing papers in PubMed
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Who cites it
7 citing papers in PubMed.
- Radiomics: Current Applications and Future Directions.MedComm · 2026Review
- Label-Free Lung MRI Segmentation via Misalignment-Aware Diffusion Translation.Journal of imaging informatics in medicine · 2026Article
- BPD-Neo: An MRI Dataset for Lung-Trachea Segmentation with Clinical Data for Neonatal Bronchopulmonary Dysplasia.Scientific data · 2026Article
- Magnetic Resonance Imaging in the Clinical Evaluation of Lung Disorders: Current Status and Future Prospects.Journal of magnetic resonance imaging : JMRI · 2025Review
- Pulmonary MRI in Newborns and Children.Journal of magnetic resonance imaging : JMRI · 2025Review
- Automated lung segmentation on chest MRI in children with cystic fibrosis.Frontiers in medicine · 2024Article
- Don't Forget the Kids!: Novel Pulmonary MRI and AI of Neonatal Lung Disease.Radiology. Artificial intelligence · 2023Article
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Authors and funding
13 authors.
Benedikt Mairhörmann *From the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).ORCID https://orcid.org/0000-0001-8012-9303
Alejandra Castelblanco *From the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).ORCID 0000-0002-1147-758X
Friederike HäfnerFrom the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).ORCID 0000-0003-1488-6490
Vanessa KoliogiannisFrom the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).
Lena HaistFrom the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).ORCID 0009-0008-7163-7734
Dominik WinterFrom the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).
Andreas FlemmerFrom the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).
Harald EhrhardtFrom the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).ORCID 0000-0003-4587-1734
Sophia StöckleinFrom the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).ORCID 0000-0003-0325-4674
Olaf DietrichFrom the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).ORCID 0000-0001-6182-5039
Kai FörsterFrom the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).ORCID 0000-0002-4127-1400
Anne Hilgendorff *From the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).ORCID 0000-0002-3725-996X
Benjamin Schubert *From the Computational Health Center (B.M., A.C., D.W., B.S.), Institute for Lung Health and Immunity and Comprehensive Pneumology Center (F.H., L.H., A.H.), and Institute of AI for Health (D.W.), Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Department of Neonatology, Perinatal Center (F.H., A.F., K.F.), Department of Radiology (V.K., S.S., O.D.), and Center for Comprehensive Developmental Care (CDeCLMU) at the Interdisciplinary Social Pediatric Center, Dr. von Hauner Children's Hospital (A.H.), Hospital of the Ludwig-Maximilian University, Munich, Germany; Department of General Pediatrics & Neonatology, Justus-Liebig-University, Member of the German Center for Lung Research (DZL), Giessen, Germany (H.E.); Division of Neonatology and Pediatric Intensive Care Medicine, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany (H.E.); and Department of Mathematics, Technical University of Munich, Munich, Germany (B.S.).
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To analyze the performance of deep learning (DL) models for segmentation of the neonatal lung in MRI and investigate the use of automated MRI-based features for assessment of neonatal lung disease. Materials and Methods: Quiet-breathing MRI was prospectively performed in two independent cohorts of preterm infants (median gestational age, 26.57 weeks; IQR, 25.3-28.6 weeks; 55 female and 48 male infants) with ( Results: The lung segmentation model reached a volumetric Dice coefficient of 0.908 in cross-validation and 0.880 on the independent test dataset, matching expert-level performance across disease grades. MRI lung features demonstrated significant correlations with lung injury scores and added structural information for the separation of neonates with BPD (BPD vs no BPD: average area under the receiver operating characteristic curve [AUC], 0.92 ± 0.02 [SD]; no or mild BPD vs moderate or severe BPD: average AUC, 0.84 ± 0.03). Conclusion: This study demonstrated high performance of DL models for MRI neonatal lung segmentation and showed the potential of automated MRI features for diagnostic assessment of neonatal lung disease while avoiding radiation exposure.
Indexed as
BPD Severity AssessmentBronchopulmonary DysplasiaChronic Lung DiseaseDeep LearningLung Imaging BiomarkersLung MRILung SegmentationLung TopologyPreterm Infant
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