Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure
Proceedings of The 2024 IEEE International Symposium on Biomedical Imaging (ISBI)
2024
Abstract
Detecting elevated intracranial pressure (ICP) is crucial in diagnosing and managing various neurological conditions. These fluctuations in pressure are transmitted to the optic nerve sheath (ONS), resulting in changes to its diameter, which can then be detected using ultrasound imaging devices. However, interpreting sonographic images of the ONS can be challenging. In this work, we propose two systems that actively monitor the ONS diameter throughout an ultrasound video and make a final prediction as to whether ICP is elevated. To construct our systems, we leverage subject matter expert (SME) guidance, structuring our processing pipeline according to their collection procedure, while also prioritizing interpretability and computational efficiency. We conduct a number of experiments, demonstrating that our proposed systems are able to outperform various baselines. One of our SMEs then manually validates our top system's performance, lending further credibility to our approach while demonstrating its potential utility in a clinical setting.
BibTeX
@inproceedings{hannan-isbi-2024,
title = {Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure},
author = {Hannan, Darryl and Nesbit, Steven C. and Wen, Ximing and Smith, Glen and Zhang, Qiao and Goffi, Alberto and Chan, Vincent and Morris, Michael J. and Hunninghake, John C. and Villalobos, Nicholas E. and Kim, Edward and Weber, Rosina O. and MacLellan, Christopher J.},
booktitle = {Proceedings of The 2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
pages = {1-4},
year = {2024},
doi = {10.1109/ISBI56570.2024.10635474},
}