Millimeter-Wave Systems for Real-Time Intraoperative Brain Tumor Resection Assistance

H. Lopes, H. Lopes, P. M. Mendes, P. M. Mendes, H. Dinis, H. Dinis

2025

Abstract

Brain cancer is one of the deadliest forms of cancer due to limited treatment options and challenges in tumor differentiation during surgery. Current surgical assistance tools, such as intraoperative imaging systems and advanced visualization techniques, often face limitations in cost, accessibility, and precision. Microwave and millimeter-wave (mmWave) technologies have emerged as promising alternatives for real-time, non-invasive differentiation of healthy and cancerous brain tissues, leveraging their sensitivity to dielectric property variations. This paper reviews the state-of-the-art microwave and mmWave systems developed for medical diagnostics, focusing on brain tumor detection. It highlights their underlying principles, performance, and limitations while discussing their potential to address the drawbacks of existing tools. By analyzing recent advancements, the review identifies key areas for future development, proposing characteristics of an ideal system to support real-time surgical decision-making. Additionally, the paper proposes a system designed to measure the dielectric properties of the brain tissue, aiming to enhance real-time surgical decision-making and improve patient outcomes.

Paper Citation

in Harvard Style

Lopes H., Mendes P. and Dinis H. (2025). Millimeter-Wave Systems for Real-Time Intraoperative Brain Tumor Resection Assistance. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: EM4Health; ISBN 978-989-758-731-3, SciTePress, pages 1085-1091. DOI: 10.5220/0013399300003911

in Bibtex Style

@conference{em4health25,
author={H. Lopes and P. Mendes and H. Dinis},
title={Millimeter-Wave Systems for Real-Time Intraoperative Brain Tumor Resection Assistance},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: EM4Health},
year={2025},
pages={1085-1091},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013399300003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: EM4Health
TI - Millimeter-Wave Systems for Real-Time Intraoperative Brain Tumor Resection Assistance
SN - 978-989-758-731-3
AU - Lopes H.
AU - Mendes P.
AU - Dinis H.
PY - 2025
SP - 1085
EP - 1091
DO - 10.5220/0013399300003911
PB - SciTePress