Title
Computational 3d Imaging Of Tissues Using Single Frequency Microwave Data
Abstract
Currently, the common medical imaging systems operate based on X-rays, magnetic resonance imaging, ultrasound, computed tomography, and positron emission tomography. The performance of these systems varies in terms of resolution, cost, complexity, and health hazards. Microwave imaging is emerging as an alternative method based on nonionizing electromagnetic radiation. Microwave imaging has been used for tumor detection, blood clot/stroke detection, heart imaging, bone imaging, and cancer detection. Recently, three-dimensional (3D) near-field holographic imaging techniques have been developed for biomedical microwave imaging. These techniques require the acquisition of wideband data to perform 3D imaging. Requirement for wideband data imposes limitations on the hardware. It may also lead to errors in the produced images of dispersive tissues. To address these limitations, here, we propose a technique to perform 3D imaging with single frequency data. Instead of collecting data at multiple frequencies, we acquire the scattered fields with an array of resonant antennas. We demonstrate the possibility of 3D imaging with the proposed setup via simulation examples. To have a realistic study, the simulation data is contaminated by noise.
Year
DOI
Venue
2018
10.1109/UEMCON.2018.8796654
2018 9TH IEEE ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON)
Keywords
Field
DocType
cancer diagnosis, holography, microwave imaging
Holography,Microwave,Wideband,Computer science,Medical imaging,Human–computer interaction,Microwave imaging,Positron emission tomography,Acoustics,Magnetic resonance imaging,Ultrasound
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Reza K. Amineh101.01
Maryam Ravan200.68