Cargando…
Experimental Validation of Microwave Tomography with the DBIM-TwIST Algorithm for Brain Stroke Detection and Classification
We present an initial experimental validation of a microwave tomography (MWT) prototype for brain stroke detection and classification using the distorted Born iterative method, two-step iterative shrinkage thresholding (DBIM-TwIST) algorithm. The validation study consists of first preparing and char...
Autores principales: | Karadima, Olympia, Rahman, Mohammed, Sotiriou, Ioannis, Ghavami, Navid, Lu, Pan, Ahsan, Syed, Kosmas, Panagiotis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038739/ https://www.ncbi.nlm.nih.gov/pubmed/32033241 http://dx.doi.org/10.3390/s20030840 |
Ejemplares similares
-
Design and Experimental Validation of a Multiple-Frequency Microwave Tomography System Employing the DBIM-TwIST Algorithm
por: Ahsan, Syed, et al.
Publicado: (2018) -
Metasurface-Enhanced Antennas for Microwave Brain Imaging
por: Razzicchia, Eleonora, et al.
Publicado: (2021) -
Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method
por: Lu, Pan, et al.
Publicado: (2022) -
Development of a Solid and Flexible Matching Medium for Microwave Medical Diagnostic Systems
por: Moradpour, Amin, et al.
Publicado: (2021) -
Impact of Information Loss on Reconstruction Quality in Microwave Tomography for Medical Imaging
por: Miao, Zhenzhuang, et al.
Publicado: (2018)