An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning.

ABSTRACT: Stroke is a leading cause of mortality and disability. Emergent diagnosis and intervention are critical, and predicated upon initial brain imaging; however, existing clinical imaging modalities are generally costly, immobile, and demand highly specialized operation and interpretation. Low-energy microwaves have been explored as a low-cost, small form factor, fast, and safe probe for tissue dielectric properties measurements, with both imaging and diagnostic potential. Nevertheless, challenges inherent to microwave reconstruction have impeded progress, hence conduction of microwave imaging remains an elusive scientific aim. Herein, we introduce a dedicated experimental framework comprising a robotic navigation system to translate blood-mimicking phantoms within a human head model. An 8-elem

SUBMITTER: Hedayati E 

PROVIDER: S-EPMC11379885 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature