Monitoring of intracerebral hemorrhage with a linear microwave imaging algorithm

Dilman İ., Bilgin E., Akıncı M. N., Cosgun S., Doğu S., Çayören M., ...Daha Fazla

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, cilt.61, sa.1, ss.33-43, 2023 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 61 Sayı: 1
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s11517-022-02694-x
  • Dergi Adı: MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Applied Science & Technology Source, BIOSIS, Biotechnology Research Abstracts, Business Source Elite, Business Source Premier, CINAHL, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, MEDLINE
  • Sayfa Sayıları: ss.33-43
  • Anahtar Kelimeler: Intracerebral hemorrhage, Microwave imaging, Inverse scattering, BRAIN-STROKE-DETECTION
  • İstanbul Teknik Üniversitesi Adresli: Evet

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.