Title :
Application of the multiplicative-regularized Gauss-Newton inversion for microwave biomedical imaging applications
Author :
Abubakar, Aria ; Habashy, Tarek M.
Author_Institution :
Schlumberger-Doll Res., Cambridge, MA, USA
Abstract :
In this work the authors applied the MR-GN approach for solving 3D problems at microwave frequency for biomedical imaging applications. This MR-GN technique has also been applied for 2D transverse magnetic (TM) data by Mojabi and Lo Vetri. By using this MR-GN inversion approach we will show that there is no need to determine the regularization weight and the approach can also preserve sharp edges by employing the weighted L2-norm regularization.
Keywords :
biomedical imaging; microwave imaging; 2D transverse magnetic data; microwave biomedical imaging; microwave frequency; multiplicative-regularized Gauss-Newton inversion; Cost function; Data models; Imaging; Jacobian matrices; Mathematical model; Minimization; Receivers;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2010 IEEE
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-4967-5
DOI :
10.1109/APS.2010.5561676