Rotation-based image reconstruction by using ART algorithm in microwave imaging

Rian Gilang Prabowo, Ria Aprilliyani, Basari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The increase of the number of people who die due to tumors is basically able to be prevented by early detection methods. One of the detection methods is by using an imaging technique systems. In this paper, we study microwave imaging system for detection the location of suspicious tumor, due to its advantageous properties such as non-invasive method without any ionization drawback. This paper investigates a tomography method in order to reconstruct an image from the acquired data. To acquire the data, we develop a data acquisition system by using rotational technique without any translational acquisition method. By this rotational technique, scan time will be faster and simpler in comparison with translational and rotational method. The proposed imaging system utilizes two pieces of 3 GHz dipole antennas with a cylindrical phantom that is put in the center as a targeted object. The data acquisition system uses a portable signal generator and spectrum analyzer from Signal Hound™ products, so we do not need vector network analyzer for developing this system. Then, an Algebraic Reconstruction Technique (ART) algorithm is used to reconstruct the desired image from the acquired data. The simulated and measured analyses are conducted with some resolution images from 16 × 16 pixel up to 64 × 64 pixel.

Original languageEnglish
Title of host publication2017 Progress In Electromagnetics Research Symposium - Fall, PIERS - FALL 2017 - Proceedings
PublisherElectromagnetics Academy
Pages1474-1478
Number of pages5
ISBN (Electronic)9781538612118
DOIs
Publication statusPublished - 2017
Event2017 Progress In Electromagnetics Research Symposium - Fall, PIERS - FALL 2017 - Singapore, Singapore
Duration: 19 Nov 201722 Nov 2017

Publication series

NameProgress in Electromagnetics Research Symposium
Volume2017-November
ISSN (Print)1559-9450
ISSN (Electronic)1931-7360

Conference

Conference2017 Progress In Electromagnetics Research Symposium - Fall, PIERS - FALL 2017
Country/TerritorySingapore
CitySingapore
Period19/11/1722/11/17

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