Monitoring of intracerebral hemorrhage with a linear microwave imaging algorithm
Yükleniyor...
Dosyalar
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Heidelberg
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Intracerebral hemorrhage is a life-threatening condition where conventional imaging modalities such as CT and MRI are indispensable in diagnosing. Nevertheless, monitoring the evolution of intracerebral hemorrhage still poses a technological challenge. We consider continuous monitoring of intracerebral hemorrhage in this context and present a differential microwave imaging scheme based on a linearized inverse scattering. Our aim is to reconstruct non-anatomical maps that reveal the volumetric evolution of hemorrhage by using the differences between consecutive electric field measurements. This approach can potentially allow the monitoring of intracerebral hemorrhage in a real-time and cost-effective manner. Here, we devise an indicator function, which reveals the position, volumetric growth, and shrinkage of hemorrhage. Later, the method is numerically tested via a 3D anthropomorphic dielectric head model. Through several simulations performed for different locations of intracerebral hemorrhage, the indicator function-based technique is demonstrated to be capable of detecting the changes accurately. Finally, the robustness under noisy conditions is analyzed to assess the feasibility of the method. This analysis suggests that the method can be used to monitor the evolution of intracerebral hemorrhage in real-world scenarios.
Açıklama
This work is supported by Istanbul Technical University under the project number MGA-2017-40824.
Anahtar Kelimeler
Intracerebral Hemorrhage, Microwave Imaging, Inverse Scattering, Brain-Stroke-Detection
Kaynak
Medical & Biological Engineering & Computing
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
61
Sayı
1
Künye
Dilman, İ., Bilgin, E., Akıncı, M. N., Coşğun, S., Doğu, S., Çayören, M., & Akduman, İ. (2023). Monitoring of intracerebral hemorrhage with a linear microwave imaging algorithm. Medical & Biological Engineering & Computing, 61(1), 33-43.
