A method for comparing MRI sequences of the knee for segmentation based on morphological features
The ultimate goal of this study is to present a methodology for selecting the most appropriate MRI sequence for segmentation, which can be applied to images of other parts in addition to the knee images used in the study. The method we present quantitatively evaluates the edge characteristics, and experimental results show that our method shows consistent results according to the edge. Our method will provide additional information for MRI sequence selection for segmentation.
Authors
- Michael Skipper Andersen (ORCID: https://orcid.org/0000-0001-8275-9472)
- Morten Bilde Simonsen (ORCID: https://orcid.org/0000-0001-6645-3596)
- Yunsub Jung (ORCID: https://orcid.org/0000-0002-0863-2913)
Institutions
- Aalborg University (DK)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1371/journal.pone.0311532
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Novo Nordisk
- Novo Nordisk Fonden