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 in questo prodotto:
File Dimensione Formato  
URSI.pdf

accesso aperto

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Pubblico - Tutti i diritti riservati
Dimensione 909.44 kB
Formato Adobe PDF
909.44 kB Adobe PDF Visualizza/Apri
URSI_IEEE.pdf

accesso riservato

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 181.6 kB
Formato Adobe PDF
181.6 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3006509