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Conference 11953 > Paper 11953-22
Paper 11953-22

Automated thermal imaging for monitoring cervical cancer brachytherapy

Abstract

Thermography is a non-ionizing, non-invasive, and low-cost imaging modality. Malignant tumors are characterized by high metabolic and perfusion rates. They express different temperature distribution compared with the surrounding healthy tissue. We have investigated thermal images of cervix tumors to quantify the response to brachytherapy. We are aiming to develop a real-time feedback system based on thermal image analysis to assess the efficacy of the oncological treatment. This method enables alteration of treatment at early stage in case treatment is shown to be not effective. The method enables individualized treatment schedules for optimal treatment effectiveness. Following IRB approval, six patients receiving therapy for advanced cervical carcinoma were offered to participate in this study and signed an informed consent. Patients were monitored before and after brachytherapy. Our algorithm calculated and stored the texture parameters obtained from the cooccurrence matrix. The next

Presenter

Oshrit A. Hoffer
Afeka College of Engineering (Israel)
Dr. Oshrit Hoffer is a lecturer in the Department of Electrical Engineering at Afeka College of Engineering in Tel Aviv Israel. Her areas of expertise are thermal imaging, image processing and machine learning.
Presenter/Author
Oshrit A. Hoffer
Afeka College of Engineering (Israel)
Author
Tel Aviv Medical Ctr. (Israel)
Author
Afeka College of Engineering (Israel)
Author
Afeka College of Engineering (Israel)
Author
Afeka College of Engineering (Israel)
Author
Sackler Faculty of Medicine, Tel-Aviv Univ. (Israel)
Author
Tel Aviv Univ. (Israel)