Automated lung segmentation on chest MRI in children with cystic fibrosis
Overall, our study demonstrates the feasibility and effectiveness of using nnU-Net for automated segmentation of lung halves in pediatric CF patients, showing promising directions for advanced image analysis techniques to assist in clinical decision-making and monitoring of CF lung disease progression. Despite these achievements, further improvements are needed to address specific segmentation challenges and enhance generalizability.
Authors
- Mark Oliver Wielpütz (ORCID: https://orcid.org/0000-0001-6962-037X)
- Simon M. F. Triphan (ORCID: https://orcid.org/0000-0003-2068-1184)
- J. Mücke (ORCID: https://orcid.org/0009-0003-5362-4415)
- Hans‐Ulrich Kauczor (ORCID: https://orcid.org/0000-0002-6730-9462)
- Urs Eisenmann (ORCID: https://orcid.org/0000-0001-8770-3822)
- Friedemann Ringwald (ORCID: https://orcid.org/0000-0002-0572-4820)
- Olaf Sommerburg (ORCID: https://orcid.org/0000-0002-3941-8944)
- Patricia Leutz-Schmidt (ORCID: https://orcid.org/0000-0003-3860-7652)
- Marcus Alexander Mall (ORCID: https://orcid.org/0000-0002-4057-2199)
- Simon Y. Graeber (ORCID: https://orcid.org/0000-0002-1666-8924)
- Niclas Hagen (ORCID: https://orcid.org/0000-0003-2390-9500)
- Jens‐Peter Schenk (ORCID: https://orcid.org/0000-0002-0588-0225)
- Petra Knaup (ORCID: https://orcid.org/0000-0002-1104-0628)
- Mirjam Stahl (ORCID: https://orcid.org/0000-0001-6941-8315)
- Monika Eichinger
- Lena Wucherpfennig (ORCID: https://orcid.org/0000-0002-2280-1269)
- Sonja Gestewitz
- Abdulsattar Alrajab
- Sebastian Kaletta
Institutions
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- German Center for Lung Research (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2024-11-12
- DOI
- https://doi.org/10.3389/fmed.2024.1401473
- Citations
- 2
- Primary Topic
- Cystic Fibrosis Research Advances
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- Vertex Pharmaceuticals