Analysis Of The Spectrum And Application Of The All-phase Method In Breast Tumor Detection By UWB

Breast cancer is one of the primary malignant cancers which are harmful towomen’s health seriously. It has emerged as the first incidence of tumor diseases ofwomen in some areas. Early diagnosis and treatment of breast cancer can effectivelyimprove the survival rate of the patients. Ultra-wideband (UWB) microwavetechnology has been proposed as a novel means of detection based on the highcontrast in the electric properties of malignant tumor related to normal fatty breasttissue in microwave frequency band. It reads information and imaging the breasttumor. UWB technology overcomes the shortcomings of traditional detection meanssuch as cost expensive, low resolution, high error detection rate and it is very suitablefor application in early breast cancer screening. UWB microwave with rich frequencycomponent has high resolution and strong penetrability making scattered signalscontain enough information on normal tissue and tumor breast. Therefore, thescattered signals are processed by FFT to obtain the spectrum. The change of thebreast normal and tumor tissue characteristics will be reflected in the spectrum of thescattered signals.In this paper, the two-dimensional planar breast model is created with the finitedifference time domain (FDTD) method to get the scattered signals. The Gaussianwhite noise and multipath noise is added after the all-phase FFT. The filter isdesigned and the tumor reconstructions with different noise are compared andanalyzed. In this research, it is observed the attenuation mainly comes from the skinlayer. The tumor spectrum can be obtained by the subtracting the tumor-free signalfrom the signal detected in the actual case with the existence of the embedded tumor.The relationship between the frequency spectrum and the permittivity, theconductivity and the tumor diameter is studied. The spectrum peaks of tumor changeobviously with the increase of the tumor relative permittivity. Meanwhile, the size oftumor has effect on the frequency spectrum amplitude. Results show the frequencyspectrum amplitude of the tumors enhance with the increase of the size at the lowfrequency.