Novel microwave torso scanner for thoracic fluid accumulation diagnosis and monitoring

Rezaeieh, S. Ahdi, Zamani, A., Bialkowski, K. S. and Abbosh, A. M. (2017) Novel microwave torso scanner for thoracic fluid accumulation diagnosis and monitoring. Scientific Reports, 7 1: 304. doi:10.1038/s41598-017-00436-w


Author Rezaeieh, S. Ahdi
Zamani, A.
Bialkowski, K. S.
Abbosh, A. M.
Title Novel microwave torso scanner for thoracic fluid accumulation diagnosis and monitoring
Journal name Scientific Reports   Check publisher's open access policy
ISSN 2045-2322
Publication date 2017-03-22
Year available 2017
Sub-type Article (original research)
DOI 10.1038/s41598-017-00436-w
Open Access Status DOI
Volume 7
Issue 1
Start page 304
Total pages 10
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Language eng
Abstract Thoracic fluid accumulation is one of the significant and early-stage manifestations of fatal diseases, such as lung-cancer, liver-failure and congestive heart-failure. Currently, computational-tomography (CT)-Scan is the most widely used tool for the detection of thoracic fluid. Yet, it is unable to detect small amounts of fluid, has ionizing radiation and lacks mobility. On the other hand, microwave imaging systems have emerged as an accurate and portable complementary diagnostic tool. However, there is a lack of a complete clinical platform that can fulfill the requirements of accurate and reliable imaging. Therefore, a microwave torso scanner that is designed to meet those requirements is presented. In this system, two elliptical-arrays of microwave antennas (sensors) transmit signals towards the torso and collect the back-scattered signals. The captured signals are then processed by a frequency-based imaging algorithm to form microwave images that display a possible accumulated fluid. The system successfully detects and localized small volumes (3 mL) of fluid injected at different places inside a torso-phantom. As preparations for future clinical trials, the system is tested on healthy subjects to define the threshold range of healthy scenario images.
Keyword Multidisciplinary Sciences
Science & Technology - Other Topics
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
 
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