Machine learning aided diagnosis of hepatic malignancies throughin vivodielectric measurements with microwaves
| Autor: | Doruk Tunaoğlu, Sibel Erdamar, Ibrahim Akduman, Akif Enes Arikan, Tuba Yilmaz, Tunaya Kalkan, Gulden Cancan, Hüseyin Çayören, Murat Ozcan, Mehmet Cayoren, Serkan Teksoz, Nuray Kepil, Ismail Kurtoglu, Melike Erdoğan, Mahmut Alp Kılıç, Yusuf Yaslan |
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| Rok vydání: | 2016 |
| Předmět: |
Permittivity
Materials science Radiological and Ultrasound Technology 020206 networking & telecommunications Healthy tissue 02 engineering and technology Dielectric 030218 nuclear medicine & medical imaging Support vector machine 03 medical and health sciences 0302 clinical medicine In vivo 0202 electrical engineering electronic engineering information engineering Radiology Nuclear Medicine and imaging Coaxial Microwave Biomedical engineering Aided diagnosis |
| Zdroj: | Physics in Medicine and Biology. 61:5089-5102 |
| ISSN: | 1361-6560 0031-9155 |
| Popis: | In the past decade, extensive research on dielectric properties of biological tissues led to characterization of dielectric property discrepancy between the malignant and healthy tissues. Such discrepancy enabled the development of microwave therapeutic and diagnostic technologies. Traditionally, dielectric property measurements of biological tissues is performed with the well-known contact probe (open-ended coaxial probe) technique. However, the technique suffers from limited accuracy and low loss resolution for permittivity and conductivity measurements, respectively. Therefore, despite the inherent dielectric property discrepancy, a rigorous measurement routine with open-ended coaxial probes is required for accurate differentiation of malignant and healthy tissues. In this paper, we propose to eliminate the need for multiple measurements with open-ended coaxial probe for malignant and healthy tissue differentiation by applying support vector machine (SVM) classification algorithm to the dielectric measurement data. To do so, first, in vivo malignant and healthy rat liver tissue dielectric property measurements are collected with open-ended coaxial probe technique between 500 MHz to 6 GHz. Cole-Cole functions are fitted to the measured dielectric properties and measurement data is verified with the literature. Malign tissue classification is realized by applying SVM to the open-ended coaxial probe measurements where as high as 99.2% accuracy (F1 Score) is obtained. |
| Databáze: | OpenAIRE |
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