Potential of UWB Radar Systems in Monitoring Liver Ablation: A Phantom Model Study
Ultra-wideband (UWB) radar differential imaging has a potential to be one of non-invasive, real-time, and non-ionizing methods for radiofrequency ablation (RFA) monitoring. In this study we developed a novel 3D UWB radar system for monitoring of the ablation zones (AZ) sizes and shapes. The system w...
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| Veröffentlicht in: | IEEE transactions on antennas and propagation 2024-12, p.1-1 |
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| creator | Kollar, Jakub Novak, Marek Babak, Milan Drizdal, Tomas Vrba, Jan Vrba, David Pokorny, Tomas Linha, Zdenek Fiser, Ondrej |
| description | Ultra-wideband (UWB) radar differential imaging has a potential to be one of non-invasive, real-time, and non-ionizing methods for radiofrequency ablation (RFA) monitoring. In this study we developed a novel 3D UWB radar system for monitoring of the ablation zones (AZ) sizes and shapes. The system was first numerically tested on both homogeneous and heterogeneous patient models, followed by corresponding experiments. We applied a 3D Delay-and-Sum (DAS) algorithm to reconstruct and locate AZs, supported by an original method to determine average permittivity for heterogeneous DAS reconstructions. Additionally, an algorithm estimating the AZ size and shape was developed. The system demonstrated high precision with a monitoring error of 1.2 ± 0.9 mm in simulations and 1.3 ± 0.8 mm in ex vivo experiments. AZ volume and shape were approximated with relative errors of 14.8 ± 9.5 % in numerical models and 29.6 ± 24.3 % in experiments. These results indicate that the developed UWB radar system is a promising method for accurate RFA monitoring. |
| doi_str_mv | 10.1109/TAP.2024.3513555 |
| format | Article |
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In this study we developed a novel 3D UWB radar system for monitoring of the ablation zones (AZ) sizes and shapes. The system was first numerically tested on both homogeneous and heterogeneous patient models, followed by corresponding experiments. We applied a 3D Delay-and-Sum (DAS) algorithm to reconstruct and locate AZs, supported by an original method to determine average permittivity for heterogeneous DAS reconstructions. Additionally, an algorithm estimating the AZ size and shape was developed. The system demonstrated high precision with a monitoring error of 1.2 ± 0.9 mm in simulations and 1.3 ± 0.8 mm in ex vivo experiments. AZ volume and shape were approximated with relative errors of 14.8 ± 9.5 % in numerical models and 29.6 ± 24.3 % in experiments. 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In this study we developed a novel 3D UWB radar system for monitoring of the ablation zones (AZ) sizes and shapes. The system was first numerically tested on both homogeneous and heterogeneous patient models, followed by corresponding experiments. We applied a 3D Delay-and-Sum (DAS) algorithm to reconstruct and locate AZs, supported by an original method to determine average permittivity for heterogeneous DAS reconstructions. Additionally, an algorithm estimating the AZ size and shape was developed. The system demonstrated high precision with a monitoring error of 1.2 ± 0.9 mm in simulations and 1.3 ± 0.8 mm in ex vivo experiments. AZ volume and shape were approximated with relative errors of 14.8 ± 9.5 % in numerical models and 29.6 ± 24.3 % in experiments. 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| subjects | Ablation monitoring Catheters Delay-and-sum (DAS) algorithm Liver Microwave imaging (MWI) Monitoring Numerical models Permittivity Radiofrequency ablation (RFA) Shape Temperature measurement Temperature sensors Three-dimensional printing Ultra wideband radar Ultrawideband (UWB) radar |
| title | Potential of UWB Radar Systems in Monitoring Liver Ablation: A Phantom Model Study |
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