Study On Imaging Method Of Biomimetic Tissue And Lesion In ISM Band

This paper introduces a new microwave imaging method based on confocal imaging for the detection of breast cancer.The biomimetic tissue and iron oxide nanoparticles were used to simulate normal human tissues and tumor tissues for imaging experiments.We analyze the actual imaging results,especially the resolution,to verify the feasibility of the new imaging method,the detection and positioning effect of the tumor and the positive significance for the development of medical imaging.Breast cancer is the second biggest cancer killer threatening women's health.With the increase of modern people's pressure,unhealthy diet and other factors,the incidence rate is increasing year by year and tends to be younger.Clinical data show that the patient's survival rate is higher and the healing effect is better,when the breast cancer is found earlier.Therefore,early diagnosis and intervention of breast cancer is essential.Common tumor diagnosis methods include X-ray imaging,ultrasound imaging and magnetic resonance imaging,but there are certain limitations in the detection of breast cancer.X-ray imaging results often have false negative or false positive leading to missed diagnosis and unnecessary biopsy.The examination process also makes the patient feel painful and there is a risk of cancer caused by ionizing radiation.Ultrasound imaging has low contrast in acoustic impedance between tumor tissue and normal tissue,resulting in poor contrast in imaging and often artifacts at tissue boundaries.The sensitivity of MRI is not good enough,resulting in poor discrimination for breast tumor tissue,and the cost of testing is expensive for patients.Microwave imaging technology utilizes the attenuation of electromagnetic wave to perform tumor detection based on the difference in electromagnetic properties between normal tissue and tumor tissue.Its imaging contrast is high enough.There is no ionizing radiation and its cost is not high.Because of its non-invasive nature,it does not cause pain to patients.Therefore,the microwave imaging has been rapidly developed in the detection of tumors,especially breast cancer.For human detection,the frequency is generally lower than 5 GHz for safety reasons.The resolution of microwave imaging is lower,when the frequency is lower.However,resolution is a critical issue in medical image detection.In order to improve the resolution of microwave imaging,a new imaging method based on microwave imaging combined with molecular probes is proposed,which utilizes the targeting of molecular probes to accumulate in tumor tissue to amplify signals and improve the contrast and resolution of imaging.Iron oxide nanoparticles are often used as carries of molecular probes to develop contrast agents for molecular imaging.Therefore,in this paper,iron oxide nanoparticles were used to simulate tumor tissue for imaging experiments of bionic tissue.The principle of the new imaging method is based on the confocal imaging algorithm.The innovation lies in the improvement of the confocal imaging algorithm,using a single-shot and single-receiving mechanism combined with molecular probes for imaging.Based on this principle,we design and build a microwave imaging platform.The single-shot and single-receiving mechanism is realized by designing a slide rail that can move in three-dimensional space to control the receiving probe to move according to a predetermined trajectory.This method avoids electromagnetic interference between conventional receiving antenna arrays.Signal processing requires only software processing and algorithm implementation.The introduction of noise and error is reduced,and the signal-to-noise ratio is improved.The feasibility of the new imaging method for tumor detection and location was verified through data collection,parameter model establishment,and imaging analysis of two-dimensional gray image and three-dimensional RGB image.The final imaging can not only obtain information such as the location,size and shape of the tumor tissue,but also the resolution of the actual image is very high,which is of great significance for the research of medical imaging.