7T MRI Automated Software Segmentation of the Hippocampus for Epilepsy: Prospective Performance Evaluation
Computerized volume measurement of the hippocampus at 7T correlates poorly with volumes obtained through manual segmentation and suboptimally with matched 3T examination measurements, but is highly reproducible at 7T within the same participant. Segmentation errors are more common with 7T examinations, and further development of a hippocampal segmentation method specific to 7T MRI is needed to fully realize the benefits of 7T MRI for imaging patients with epilepsy.
Authors
- Krystal Kirby (ORCID: https://orcid.org/0000-0002-9379-7105)
- Kirk M. Welker (ORCID: https://orcid.org/0000-0003-1293-2887)
- Brian J. Burkett (ORCID: https://orcid.org/0000-0002-0457-5712)
- David B. Burkholder (ORCID: https://orcid.org/0000-0001-9763-1025)
- Karl N. Krecke (ORCID: https://orcid.org/0000-0003-1950-5589)
- Benjamin H. Brinkmann (ORCID: https://orcid.org/0000-0002-2392-8608)
- Steven Anthony Messina (ORCID: https://orcid.org/0000-0002-0861-8628)
- Zaki Ahmed (ORCID: https://orcid.org/0000-0001-5648-0590)
- Daniel J. Blezek (ORCID: https://orcid.org/0000-0002-6498-6273)
- Andrew Fagan (ORCID: https://orcid.org/0000-0002-5528-9732)
- Robert J. Witte (ORCID: https://orcid.org/0000-0001-9641-2787)
Institutions
- Mayo Clinic (US)
- Mayo Clinic in Arizona (US)
- Beaumont Hospital, Royal Oak (US)
- Mary Bird Perkins Cancer Center (US)
- Beaumont Hospital, Troy (US)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2025-10-09
- DOI
- https://doi.org/10.3174/ajnr.a8862
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00