On the Opportunities and Challenges in Microwave Medical Sensing and Imaging
Top Cited Papers
- 15 May 2015
- journal article
- review article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering
- Vol. 62 (7), 1667-1682
- https://doi.org/10.1109/tbme.2015.2432137
Abstract
Widely used medical imaging systems in clinics currently rely on X-rays, magnetic resonance imaging, ultrasound, computed tomography, and positron emission tomography. The aforementioned technologies provide clinical data with a variety of resolution, implementation cost, and use complexity, where some of them rely on ionizing radiation. Microwave sensing and imaging (MSI) is an alternative method based on nonionizing electromagnetic (EM) signals operating over the frequency range covering hundreds of megahertz to tens of gigahertz. The advantages of using EM signals are low health risk, low cost implementation, low operational cost, ease of use, and user friendliness. Advancements made in microelectronics, material science, and embedded systems make it possible for miniaturization and integration into portable, handheld, mobile devices with networking capability. MSI has been used for tumor detection, blood clot/stroke detection, heart imaging, bone imaging, cancer detection, and localization of in-body RF sources. The fundamental notion of MSI is that it exploits the tissue-dependent dielectric contrast to reconstruct signals and images using radar-based or tomographic imaging techniques. This paper presents a comprehensive overview of the active MSI for various medical applications, for which the motivation, challenges, possible solutions, and future directions are discussed.Keywords
Funding Information
- European Research Consortium for Informatics and Mathematics (ERCIM)
- “Alain Bensoussan”
- Research Council of Norway (225885/O70)
This publication has 110 references indexed in Scilit:
- Contrast-enhanced microwave imaging of breast tumors: a computational study using 3D realistic numerical phantomsInverse Problems, 2010
- Microwave tomography: review of the progress towards clinical applicationsPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2009
- The correlation ofin vivoandex vivotissue dielectric properties to validate electromagnetic breast imaging: initial clinical experiencePhysiological Measurement, 2009
- A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeriesPhysics in Medicine & Biology, 2007
- Initial Clinical Experience with Microwave Breast Imaging in Women with Normal MammographyAcademic Radiology, 2007
- A quasi‐Newton reconstruction algorithm for a complex microwave imaging scanner environmentRadio Science, 2003
- Enhancing breast tumor detection with near-field imagingIEEE Microwave Magazine, 2002
- Three-dimensional FDTD analysis of a pulsed microwave confocal system for breast cancer detection: design of an antenna-array elementIEEE Transactions on Antennas and Propagation, 1999
- Inverse scattering: an iterative numerical method for electromagnetic imagingIEEE Transactions on Antennas and Propagation, 1991
- Reconstruction of two-dimensional permittivity distribution using the distorted Born iterative methodIEEE Transactions on Medical Imaging, 1990