Payyonlu bir anten ve göğme tasarlayın hipertermi uygulaması için prototip
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In this work we construct an antenna that is suitable for use in applications involving hyperthermia. The antenna we are going to build should be able to radiate in a material that absorbs energy (breast), have a working frequency of 900MHz. This very high temperature is effective in eliminating the cells that are malignant. There are several ways to optimize the performance of a hyperthermia. The main goal is to target heat energy into the tumor area, creating a highly localized heating region. The more energy/power deposited into the tumor, the higher the temperature elevation. At the same time, the temperature of healthy tissues should be kept below critical levels. The main design parameters of a hyperthermia applicator need to be determined and optimized in order to meet all these requirements. An advantage of this antenna is a small size, which measures just (30 × 30 mm) makes it simpler to construct and include into an applicator that has the capacity to hold many antennas.
Author
Abdullah İsam Mosa Al-araji
Institution

Altınbaş University
Elektrik ve Bilgisayar Mühendisliği Bilim Dalı
How to Cite
Abdullah İsam Mosa Al-araji (Master Thesis). Payyonlu bir anten ve göğme tasarlayın hipertermi uygulaması için prototip, 2022, Altınbaş University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Altınbaş University
- The comparison of Samuel P. Huntington's "Clash of Civilizations" and Immanuel Wallerstein's "World Systems Analysis"(2024)
- The moderating role of self-efficacy in the effect of adverse childhood experiences on parenting attitudes(2025)
- Hastane mimarisinde fraktal boyutun bilinçli etkisi: Sıcaklık ve konforun artırılması(2024)
- The impact of FoMO on brand loyalty: A study on the cosmetic industry(2024)
- Design of advanced anomaly detection system based on hybrid machine learning technique with optimized feature selection in wireless sensor network(2025)
- Kanser tedavisi amaçlı nano parçacıkların sentezi ve değerlendirilmesi(2025)