Medical electro-thermal imaging

Download
2012
Carlak, Hamza Feza
Breast cancer is the most crucial cancer type among all other cancer types. There are many imaging techniques used to screen breast carcinoma. These are mammography, ultrasound, computed tomography, magnetic resonance imaging, infrared imaging, positron emission tomography and electrical impedance tomography. However, there is no gold standard in breast carcinoma diagnosis. The object of this study is to create a hybrid system that uses thermal and electrical imaging methods together for breast cancer diagnosis. Body tissues have different electrical conductivity values depending on their state of health and types. Consequently, one can get information about the anatomy of the human body and tissue’s health by imaging tissue conductivity distribution. Due to metabolic heat generation values and thermal characteristics that differ from tissue to tissue, thermal imaging has started to play an important role in medical diagnosis. To increase the temperature contrast in thermal images, the characteristics of the two imaging modalities can be combined. This is achieved by implementing thermal imaging applying electrical currents from the body surface within safety limits (i.e., thermal imaging in active mode). Electrical conductivity of tissues changes with frequency, so it is possible to obtain more than one thermal image for the same body. Combining these images, more detailed information about the tumor tissue can be acquired. This may increase the accuracy in diagnosis while tumor can be detected at deeper locations. Feasibility of the proposed technique is investigated with analytical and numerical simulations and experimental studies. 2-D and 3-D numerical models of the female breast are developed and feasibility work is implemented in the frequency range of 10 kHz and 800 MHz. Temporal and spatial temperature distributions are obtained at desired depths. Thermal body-phantoms are developed to simulate the healthy breast and tumor tissues in experimental studies. Thermograms of these phantoms are obtained using two different infrared cameras (microbolometer uncooled and cooled Quantum Well Infrared Photodetectors). Single and dual tumor tissues are determined using the ratio of uniform (healthy) and inhomogeneous (tumor) images. Single tumor (1 cm away from boundary) causes 55 °mC temperature increase and dual tumor (2 cm away from boundary) leads to 50 °mC temperature contrast. With multi-frequency current application (in the range of 10 kHz-800 MHz), the temperature contrast generated by 3.4 mm3 tumor at 9 mm depth can be detected with the state-of-the-art thermal imagers.

Suggestions

Theoretical assessment of electro-thermal imaging: A new technique for medical diagnosis
Carlak, H. Feza; Gençer, Nevzat Güneri; Beşikci, Cengiz (Elsevier BV, 2016-05-01)
Breast cancer is one of the most crucial cancer types. To improve the diagnosis performance, a hybrid system is proposed through simultaneous utilization of thermal and electrical impedance imaging methods. The innovation of the approach relies on the frequency dependence of the tissue's electrical impedance which facilitates the acquisition of multiple thermal images with currents at different frequencies injected to the region of the body under inspection. The applied current and the resulting heating at ...
Application of image enhancement algorithms to improve the visibility and classification of microcalcifications in mammograms
Akbay, Cansu; Gençer, Nevzat Güneri; Gençer, Gülay; Department of Biomedical Engineering (2015)
Breast cancer is the second leading cause of cancer deaths for women. Mammography is the most effective technology presently available for breast cancer screening, despite the fact that there are still some limitations of the imaging technique, such as insufficient resolution, low local contrast and noise combined with the subtle nature of the usual radiographic findings. One of the most important radiographic findings associated to the existence of breast cancer is the clustered microcalcifications. Especi...
COMPUTER AIDED DIAGNOSIS SYSTEM FOR AUTOMATIC TWO STAGES CLASSIFICATION OF BREAST MASS IN DIGITAL MAMMOGRAM IMAGES
Alqudah, Ali Mohammad; Algharib, Huda M. S.; Algharib, Amal M. S.; Algharib, Hanan M. S. (2019-02-01)
Breast cancer is the most frequent cancer type that is diagnosed in women. The exact causes of such cancer are still unknown. Early and precise detection of breast cancer using mammogram images or biopsy to provide the required medications can increase the healing percentage. There are much current research efforts to developed a computer aided diagnosis (CAD) system based on mammogram images for detecting and classification of breast masses. In this research, a CAD system is developed for automated segment...
A mass detection algorithm for mammogram images /
Yeşilkaya, Muhammed; Akar, Gözde; Gençer, Nevzat Güneri; Department of Electrical and Electronics Engineering (2014)
Breast cancer is the most common cancer type encountered among woman in the world and causes many deaths. In order to prevent mastectomies, decrease the probability of return and reduce mortality, early detection of cancer lesion is crucial. Mammography is a frequently used screening technique to detect and diagnose lesions. However, sometimes it is difficult for radiologists to see and diagnose lesions due to low contrast of mammograms. Computer Aided Detection / Diagnosis (CAD / CADx) systems have been de...
Cell-surface interactions in a breast cancer model
Antmen, Ezgi; Hasırcı, Vasıf Nejat; Demirci, Utkan; Department of Biotechnology (2017)
Breast cancer, is one of the most commonly diagnosed cancers, has a high mortality rate. One in every eight women (12.3%) develops breast cancer at some stage of their lives and this is the cause of about 15% of cancer deaths in women and 3% of total deaths. It is therefore important to study the behavior of breast cancer cells. Measurement of the mechanical properties of cancer cells leads to new insights such as that cancer cells are softer than healthy cells. Also, metastatic cancer cells were found to b...
Citation Formats
H. F. Carlak, “Medical electro-thermal imaging,” Ph.D. - Doctoral Program, Middle East Technical University, 2012.