The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In radar based confocal microwave imaging for breast cancer detection, recorded data are synthetically focused to a confocal point within the breast. This is the basis for both data-independent and data adaptive methods to form the breast image and can be enhanced by multistatic approach. This approach inherently assumes that the propagation velocity depends only on the average dielectric property...
This paper proposes a method that combines a data-independent beamformer with Matrix Pencil (MP) method to take into consideration the morphological properties of the malignant tissue. The simulated results have shown the resonant frequency and damping factor of complex natural resonance (CNR) are capable of differentiating the malignant tissue from other significant interferers such as benign lesions...
Radar based microwave imaging technique has great potential for breast cancer detection. It has been demonstrated by recent experiments that the data adaptive radar microwave imaging reveals good image resolution. However, purely scattered energy based image reconstruction methods can face major challenges in differentiation since the fibroconnective and glandular tissues which could have similar...
We investigate the use of time reversal (TR) microwave imaging coupled with maximum likelihood (ML) estimation for the localisation of breast tissue malignancies that are embedded in a background cluttered with heterogeneous breast tissues.
This paper addresses the early detection of malignant breast tissues using microwave imaging. The breast contains fibroconnective, glandular and benign tissues whose dielectric properties can be very close to those of malignant tissues. Thus it becomes difficult to differentiate the malignancy using conventional microwave imaging approaches. Here, we investigate RCB and DAS methods coupled with Matrix...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.