Monitoring of intracerebral hemorrhage with a linear microwave imaging algorithm
dc.authorid | 0000-0003-1500-2263 | en_US |
dc.authorid | 0000-0003-3517-6164 | en_US |
dc.authorid | 0000-0003-0550-5799 | en_US |
dc.authorid | 0000-0002-5329-6437 | en_US |
dc.contributor.author | Dilman, İsmail | |
dc.contributor.author | Bilgin, Egemen | |
dc.contributor.author | Akıncı, Mehmet Nuri | |
dc.contributor.author | Coşğun, Sema | |
dc.contributor.author | Doğu, Semih | |
dc.date.accessioned | 2024-01-30T06:54:24Z | |
dc.date.available | 2024-01-30T06:54:24Z | |
dc.date.issued | 2023 | en_US |
dc.department | BAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü | en_US |
dc.description | This work is supported by Istanbul Technical University under the project number MGA-2017-40824. | en_US |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | Istanbul Technical University [MGA-2017-40824] | en_US |
dc.identifier.citation | 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. | en_US |
dc.identifier.doi | 10.1007/s11517-022-02694-x | |
dc.identifier.endpage | 43 | en_US |
dc.identifier.issn | 0140-0118 | |
dc.identifier.issn | 1741-0444 | |
dc.identifier.issue | 1 | en_US |
dc.identifier.pmid | 36307743 | en_US |
dc.identifier.scopus | 2-s2.0-85140996430 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.startpage | 33 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1007/s11517-022-02694-x | |
dc.identifier.uri | https://hdl.handle.net/20.500.12491/11970 | |
dc.identifier.volume | 61 | en_US |
dc.identifier.wos | WOS:000875522800001 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.institutionauthor | Coşğun, Sema | |
dc.language.iso | en | en_US |
dc.publisher | Springer Heidelberg | en_US |
dc.relation.ispartof | Medical & Biological Engineering & Computing | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Intracerebral Hemorrhage | en_US |
dc.subject | Microwave Imaging | en_US |
dc.subject | Inverse Scattering | en_US |
dc.subject | Brain-Stroke-Detection | en_US |
dc.title | Monitoring of intracerebral hemorrhage with a linear microwave imaging algorithm | en_US |
dc.type | Article | en_US |