Developments of tomography and radar-based head imaging systems

Microwave-based diagnostic systems are increasingly attracting huge attention due to their low-cost, non-ionizing and non-invasive characteristics. This paper reviews the recent developments of head imaging systems reported for applications in medical emergencies. The reviewed systems include tomography and radar systems. It is shown that although microwave systems for head imaging have reached a mature stage, they still need a preclinical validation.

[1]  A. T. Erdogan,et al.  Microwave imaging for brain tumour detection using an UWB Vivaldi Antenna array , 2012, 2012 Loughborough Antennas & Propagation Conference (LAPC).

[2]  Bernhard Seiser,et al.  Electromagnetic tomography for brain imaging: From virtual to human brain , 2014, 2014 IEEE Conference on Antenna Measurements & Applications (CAMA).

[3]  A. T. Mobashsher,et al.  Ultra wideband antenna for portable brain stroke diagnostic system , 2013, 2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO).

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

[5]  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.

[6]  E. Pancera,et al.  UWB synthetic aperture-based radar system for hemorrhagic head-stroke detection , 2011, 2011 IEEE RadarCon (RADAR).

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

[8]  S. Semenov Microwave tomography: review of the progress towards clinical applications , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[9]  D. Ireland,et al.  Modeling Human Head at Microwave Frequencies Using Optimized Debye Models and FDTD Method , 2013, IEEE Transactions on Antennas and Propagation.

[10]  Serguei Semenov,et al.  Electromagnetic sensing and imaging for medical applications , 2014, 2014 IEEE Conference on Antenna Measurements & Applications (CAMA).

[11]  Amin M. Abbosh,et al.  Development of compact directional antenna utilising plane of symmetry for wideband brain stroke detection systems , 2014 .

[12]  Chuanren Wu,et al.  Quantitative imaging of numerically realistic human head model using microwave tomography , 2014 .

[13]  Amin M. Abbosh,et al.  Microwave imaging for brain stroke detection using Born iterative method , 2013 .

[14]  Matteo Pastorino,et al.  Microwave Imaging: Pastorino/Imaging , 2010 .

[15]  A. M. Abbosh,et al.  Stepped frequency continuous wave software defined radar for medical imaging , 2014, 2014 IEEE Antennas and Propagation Society International Symposium (APSURSI).

[16]  A. T. Mobashsher,et al.  Detection and localization of brain strokes in realistic 3-D human head phantom , 2013, 2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO).

[17]  Amin M. Abbosh,et al.  Artificial Human Phantoms: Human Proxy in Testing Microwave Apparatuses That Have Electromagnetic Interaction with the Human Body , 2015, IEEE Microwave Magazine.

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

[19]  A. Mobashsher,et al.  Three-Dimensional Human Head Phantom With Realistic Electrical Properties and Anatomy , 2014, IEEE Antennas and Wireless Propagation Letters.

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