本文關鍵詞： 超寬帶微波 早期乳腺腫瘤 頻域波束形成 腫瘤特征信號提取 集成經驗模式分解　出處：《天津大學》2014年碩士論文　論文類型：學位論文

【摘要】：近年來,乳腺腫瘤越來越成為威脅全世界女性的生命健康的一種疾病,其造成的患者的死亡率一直處于所有癌癥的第一位。因而乳腺癌的治療與檢測引起了全世界的關注,全世界各個國家均投入了很大的精力與物力進行乳腺癌的治療與檢測的研究。最終臨床醫(yī)學研究證實,在乳腺腫瘤早期檢測出腫瘤同時進行治療是有助于提高乳腺腫瘤患者的成活率的。因而目前有很多的檢測乳腺腫瘤的方法與手段,但是他們都有一定的缺點,使得乳腺癌早期檢測的實施有了一定的障礙。然而,超寬帶微波檢測早期乳腺腫瘤的方法具有價格便宜,檢測過程無痛苦,對患者身體無輻射等很多的優(yōu)點,因而受到全世界的廣泛關注。因而,在這個背景下,本文從介紹超寬帶微波檢測入手,介紹了真實乳房的結構以及乳房模型的導出與建立,主要介紹了超寬帶微波檢測早期乳腺腫瘤系統(tǒng)中所使用的三種模型,有二維平面模型,三維長方體模型,以及基于核磁共振圖像導出的二維乳房模型。其中使用核磁共振圖像導出的乳腺腫瘤模型是最為接近真實乳房的一種模型。研究了超寬帶微波頻域波束形成成像的具體過程以及結果,同時介紹了兩種不同的腫瘤特征信號的方法。詳細介紹了超寬帶微波頻域波束形成成像的基本原理,基于二維平面模型進行的頻域波束形成算法的具體實施過程以及成像結果。本文主要研究了兩種提取腫瘤信號的方法,一種是先提取基準信號,然后通過減去基準信號得到腫瘤特征信號,這種方法是基于三維長方體模型的實驗,是采用天線陣列設計的方法進行的腫瘤基準信號提取,進而提取腫瘤特征信號。另一種腫瘤特征信號提取的方法是直接從得到的信號中提取腫瘤特征信號。這種方法是基于集成經驗模式分解的時頻分析方法對得到的信號進行分解處理,從而得到有用的腫瘤特征信號,并進行成像。
[Abstract]:In recent years, breast cancer has become a disease that threatens the life and health of women all over the world. The death rate of patients caused by it has been the first of all cancers. Therefore, the treatment and detection of breast cancer has attracted worldwide attention. Countries all over the world have invested a lot of energy and material resources to study the treatment and detection of breast cancer. It is helpful to improve the survival rate of breast tumor patients by simultaneous treatment in the early detection of breast tumor. Therefore, there are many methods and means to detect breast tumor at present, but they all have some shortcomings. The implementation of early detection of breast cancer has some obstacles. However, ultra-wideband microwave detection of early breast cancer has many advantages, such as low price, painless detection process, no radiation to patients and so on. Therefore, under this background, this paper begins with the introduction of UWB microwave detection, introduces the structure of real breast and the derivation and establishment of breast model. This paper mainly introduces three kinds of models used in the detection of early breast tumors by UWB microwave, including two dimensional plane model and three dimensional cuboid model. The breast tumor model derived from MRI image is the closest to the real breast model. The ultra-wideband microwave frequency domain beamforming imaging is studied. And the results. At the same time, two different methods of tumor characteristic signal are introduced, and the basic principle of ultra-wideband microwave frequency domain beamforming imaging is introduced in detail. The implementation process and imaging results of the frequency domain beamforming algorithm based on two-dimensional plane model. This paper mainly studies two methods to extract tumor signal, one is to extract the reference signal first. Then the tumor characteristic signal is obtained by subtracting the reference signal. This method is based on the experiment of three-dimensional cuboid model and is extracted by using antenna array design method. Another method is to extract tumor feature signal directly from the obtained signal. This method is based on the time-frequency analysis method integrated with empirical mode decomposition. The signal is decomposed. Thus the useful tumor characteristic signal is obtained and the imaging is carried out.
【學位授予單位】：天津大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：R737.9;TN911.7

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