Performance Evaluation of a Time-Domain Microwave System for Medical Diagnostics

A time-domain microwave system for medical diagnostics was developed using off-the-shelf components. The system’s performance was evaluated for realistic measurement scenarios when two different measurement strategies: with and without variable gain controls (VGCs) were employed. The results showed that without the employment of the VGC strategy, the system was able to measure loss up to 80 dB in the frequency range of 500 MHz–3 GHz. A 20 dB higher dynamic range was obtained when the VGC strategy was used. This measurement accuracy was obtained with settings which results in the measurement speed of <inline-formula> <tex-math notation="LaTeX">$20~\mu \text{s}$ </tex-math></inline-formula> per trace.

[1]  Andreas Fhager,et al.  Reconstruction Quality and Spectral Content of an Electromagnetic Time-Domain Inversion Algorithm , 2006, IEEE Transactions on Biomedical Engineering.

[2]  Amin M. Abbosh,et al.  Microwave System to Detect Traumatic Brain Injuries Using Compact Unidirectional Antenna and Wideband Transceiver With Verification on Realistic Head Phantom , 2014, IEEE Transactions on Microwave Theory and Techniques.

[3]  B.D. Van Veen,et al.  An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection , 2005, IEEE Antennas and Propagation Magazine.

[4]  Andrea Bevilacqua,et al.  An Integrated Microwave Imaging Radar With Planar Antennas for Breast Cancer Detection , 2013, IEEE Transactions on Microwave Theory and Techniques.

[5]  Amin M. Abbosh,et al.  Software-Defined Radar for Medical Imaging , 2016, IEEE Transactions on Microwave Theory and Techniques.

[6]  Paul M. Meaney,et al.  A First Evaluation of the Realistic Supelec-Breast Phantom , 2017, IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology.

[8]  A. Preece,et al.  Radar-Based Breast Cancer Detection Using a Hemispherical Antenna Array—Experimental Results , 2009, IEEE Transactions on Antennas and Propagation.

[9]  国際非電離放射線防護委員会 ICNIRP statement on the "Guidelines for limiting exposure to time-varying electric, magnetic, and electromagnetic fields (up to 300 GHz)". , 2009, Health physics.

[10]  Andreas Fhager,et al.  Microwave-Based Stroke Diagnosis Making Global Prehospital Thrombolytic Treatment Possible , 2014, IEEE Transactions on Biomedical Engineering.

[11]  Amin M. Abbosh,et al.  Microwave System for Head Imaging , 2014, IEEE Transactions on Instrumentation and Measurement.

[12]  Lorenzo Crocco,et al.  A FEASIBILITY STUDY ON MICROWAVE IMAGING FOR BRAIN STROKE MONITORING , 2012 .

[13]  J. Sachs,et al.  Integrated pseudo-noise device with network analyzer performance for UWB sensing and component test , 2012, 2012 International Symposium on Signals, Systems, and Electronics (ISSSE).

[14]  Andreas Fhager,et al.  Microwave technology for detecting traumatic intracranial bleedings: tests on phantom of subdural hematoma and numerical simulations , 2016, Medical & Biological Engineering & Computing.

[15]  D. Corfield,et al.  Microwave Tomography for Brain Imaging: Feasibility Assessment for Stroke Detection , 2008 .

[16]  Atte Meretoja,et al.  Update on the Global Burden of Ischemic and Hemorrhagic Stroke in 1990-2013: The GBD 2013 Study , 2015, Neuroepidemiology.

[17]  M. Kahrs,et al.  50 years of RF and microwave sampling , 2003 .

[18]  Paul M. Meaney,et al.  A clinical prototype for active microwave imaging of the breast , 2000 .

[19]  Andreas Fhager,et al.  Design and Performance Evaluation of a Time Domain Microwave Imaging System , 2013 .

[20]  Andreas Fhager,et al.  Development of a Time Domain Microwave System for Medical Diagnostics , 2014, IEEE Transactions on Instrumentation and Measurement.

[21]  Andreas Fhager,et al.  Accuracy Evaluation of Ultrawideband Time Domain Systems for Microwave Imaging , 2011, IEEE Transactions on Antennas and Propagation.

[22]  Mikael Persson,et al.  Clinical Evaluation of a Microwave-Based Device for Detection of Traumatic Intracranial Hemorrhage , 2017, Journal of neurotrauma.

[23]  Joshua D. Schwartz,et al.  A Time-Domain Microwave System for Breast Cancer Detection Using a Flexible Circuit Board , 2015, IEEE Transactions on Instrumentation and Measurement.