This paper presents an ad hoc Double-Stage Multiply-Delay-and-Sum (DS-DMAS) confocal algorithm with a pre-calibration stage and simplified wave propagation compensation adapted for microwave-imaging-based detection and monitoring of brain stroke onsets. We numerically assesses the algorithm using mimicked clinical scenarios of detection and follow-up, including a setup with a multiview 22-antennas system operating from 0.8 to 1.8 GHz and both anthropomorphic homogeneous and multi-tissue head models. The results demonstrate the capability to detect and monitor the pathology, providing 3D intensity power maps highlighting the evolving stroke-affected areas.
Detection and Monitoring of Brain Stroke Onsets by an Ad-hoc Double Stage Delay-Multiply-And-Sum (DS-DMAS) Algorithm / Masaquiza Caiza, Alex Ramiro; Rodriguez Duarte, David Orlando; Vipiana, Francesca. - (2025). ( 2025 URSI International Symposium on Electromagnetic Theory, EMTS 2025 Bologna (Ita) 23-27 June 2025) [10.46620/ursiemts25/byst7983].
Detection and Monitoring of Brain Stroke Onsets by an Ad-hoc Double Stage Delay-Multiply-And-Sum (DS-DMAS) Algorithm
Masaquiza Caiza, Alex Ramiro;Rodriguez Duarte, David Orlando;Vipiana, Francesca
2025
Abstract
This paper presents an ad hoc Double-Stage Multiply-Delay-and-Sum (DS-DMAS) confocal algorithm with a pre-calibration stage and simplified wave propagation compensation adapted for microwave-imaging-based detection and monitoring of brain stroke onsets. We numerically assesses the algorithm using mimicked clinical scenarios of detection and follow-up, including a setup with a multiview 22-antennas system operating from 0.8 to 1.8 GHz and both anthropomorphic homogeneous and multi-tissue head models. The results demonstrate the capability to detect and monitor the pathology, providing 3D intensity power maps highlighting the evolving stroke-affected areas.| File | Dimensione | Formato | |
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https://hdl.handle.net/11583/3006509
