Automated Supraclavicular Brown Adipose Tissue Segmentation in Computed Tomography Using nnU-Net: Integration with TotalSegmentator
The proposed automated BAT segmentation tool demonstrates robust performance, reducing the need for manual annotation. The analysis of a large patient cohort confirms the known patterns of BAT SUVs, highlighting the method's potential for broader clinical and research applications.
Authors
- Ruth J. F. Loos (ORCID: https://orcid.org/0000-0002-8532-5087)
- Christian Hinge
- Flemming Littrup Andersen (ORCID: https://orcid.org/0000-0003-2821-1849)
- Kasper Jørgensen (ORCID: https://orcid.org/0000-0002-1395-5143)
- Frederikke Engel Høi-Hansen
Institutions
- University of Copenhagen (DK)
- Novo Nordisk Foundation (DK)
- Rigshospitalet (DK)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-12-11
- DOI
- https://doi.org/10.3390/diagnostics14242786
- Citations
- 3
- Primary Topic
- Adipose Tissue and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.98
Funders
- Novo Nordisk
- Novo Nordisk Fonden
- Novo Nordisk Foundation Center for Basic Metabolic Research