Induced Current Thermal Imaging in Breast Cancer Detection

Date

2021-01-01

Author

Tanriverdi, Volkan
Gençer, Nevzat Güneri

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Infrared thermal imaging method has started to be used in routine controls due to the disadvantages (uses ionizing energy, applies pressure) of mammography, which is frequently used in the diagnosis of breast cancer. With passive thermography, infrared radiation emitted naturally from the body surface is detected by a thermal camera and the surface temperature distribution is displayed. Using a passive thermal imaging system with 30 mK thermal sensitivity, 10 mm tumor can be detected at a depth of 12 mm. The performance of passive thermography is limited for small and deep tumors. In the active thermography method, it is aimed to detect deeper tumors by using an external heat source. In the active thermography method, deeper tumors are detected using external heat sources. In this study, the currents induced by time varying magnetic fields (27.12 MHz) were used as the external heat source. In the simulation study, breast and cancerous tissue were modeled in three dimensions and the bioheat equation for active and passive modes was solved by using realistic values of the tissues. As a result of the simulation studies, it was observed that a 10 mm malignant tumor could be detected up to a depth of 20 mm. It was shown that this method can be used with multiple frequencies as the temperature distributions obtained from the surface for different frequency values are different from each other.

Subject Keywords

breast cancer infrared imaging, thermal imaging, active thermogram, electro-thermal imaging, induction heating, TISSUES

URI

https://hdl.handle.net/11511/100036

DOI

https://doi.org/10.1109/siu53274.2021.9477789

Conference Name

29th IEEE Conference on Signal Processing and Communications Applications (SIU)

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

V. Tanriverdi and N. G. Gençer, “Induced Current Thermal Imaging in Breast Cancer Detection,” presented at the 29th IEEE Conference on Signal Processing and Communications Applications (SIU), ELECTR NETWORK, 2021, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/100036.