Clinical Validation of the InnerEye Hippocampal Segmentation Tool
Motivation: Accurate segmentation of the hippocampus provides an important biomarker in neurodegenerative diseases, e.g., Alzheimer’s disease. However, currently available tools are not robust to disease-related atrophy. Goal(s): We aim to demonstrate the accuracy of our InnerEye hippocampal segmentation tool on clinical data. Approach: We fine-tuned our existing model on manually segmented data and externally validated the model on a clinical dataset of patients referred to a dementia clinic. We compare our model to three commonly used segmentation tools. Results: Our model provides significant improvements over currently available tools when tested on an external, clinical dataset. Impact: The hippocampal segmentation model presented in this work provides significant improvements over currently available tools in an external, clinical dataset. Segmentation performance was increased, while run-times were decreased. These results support the tool as a viable alternative in clinical settings.
Authors
- Daniel Alexander (ORCID: https://orcid.org/0000-0003-0515-4116)
- Jiaming Wu (ORCID: https://orcid.org/0000-0001-7830-1135)
- John S. Thornton (ORCID: https://orcid.org/0000-0003-3248-8437)
- Hamza A. Salhab (ORCID: https://orcid.org/0000-0003-3575-7938)
- Javier Alvarez-Valle (ORCID: https://orcid.org/0000-0003-0906-4177)
- Fernando Pérez‐García (ORCID: https://orcid.org/0000-0001-9090-3024)
- Frederik Barkhof (ORCID: https://orcid.org/0000-0003-3543-3706)
- Sjoerd B. Vos (ORCID: https://orcid.org/0000-0002-8502-4487)
- Matthew Grech‐Sollars (ORCID: https://orcid.org/0000-0003-3881-4870)
- Anna Schroder (ORCID: https://orcid.org/0009-0001-0380-0674)
- Melissa Bristow (ORCID: https://orcid.org/0009-0009-7884-0214)
- James Moggridge
- Tarek Yousry
- Caroline Micallef
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/2130
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00