Abstract
AbstractLung cancer is one of the most common causes of cancer-related death worldwide. It is usually detected by CT or MRI and removed through thoracoscopic surgery. However, during the surgery, the lung collapses and a new determination of the position of the pulmonary nodule is necessary which is particularly challenging in the case of minimally invasive surgeries when palpation is not possible.In this contribution, ultra-wideband (UWB) radio technology is proposed for the localization of lung cancer. This was investigated through numerical simulations mimicking the frequencies range between 0.5 and 5 GHz and a nodule depth of 1 to 6 cm.A confocal map was reconstructed by positioning a monostatic antenna on a 5 \(\times \) 5 grid distribution on top of the lung tissue. The results show that the cancer localization was possible in the frequency between 0.5 and 1 GHz and nodules depth between 4 and 6 cm, while at lower depths artifacts appeared and at higher frequencies the electromagnetic attenuation given by the lung tissue was too high to detect the pulmonary nodule.KeywordsLung noduleCancerMicrowave imagingUltra-wideband (UWB)Finite difference time domain (FDTD)
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