Deep learning–based segmentation of the trigeminal nerve and surrounding vasculature in trigeminal neuralgia
U-Net-based neural networks perform well for segmenting trigeminal nerve and vessels from preoperative MRI volumes. This technology enables the development of quantitative and objective metrics for radiographic evaluation of TN.
Authors
- Michael E. Xie (ORCID: https://orcid.org/0000-0002-4026-9181)
- Risheng Xu (ORCID: https://orcid.org/0000-0003-4288-1232)
- Michael Lim (ORCID: https://orcid.org/0000-0003-0523-3076)
- Christopher M. Jackson (ORCID: https://orcid.org/0000-0002-5958-2004)
- Judy Huang (ORCID: https://orcid.org/0000-0002-0675-1935)
- Chetan Bettegowda (ORCID: https://orcid.org/0000-0001-9991-7123)
- Bryan C. Dong
- Xihang Wang (ORCID: https://orcid.org/0009-0003-1960-9772)
- Vivek Srikar Yedavalli (ORCID: https://orcid.org/0000-0002-2450-4014)
- Kyra Halbert-Elliott (ORCID: https://orcid.org/0009-0003-1215-8438)
- Oishika Das
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- Journal of neurosurgery
- Published
- 2025-03-07
- DOI
- https://doi.org/10.3171/2024.10.jns241060
- Citations
- 4
- Primary Topic
- Trigeminal Neuralgia and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 5.89