Literature DB >> 10463129

Nonactive antenna compensation for fixed-array microwave imaging: Part II--Imaging results.

P M Meaney1, K D Paulsen, J T Chang, M W Fanning, A Hartov.   

Abstract

Model-based imaging techniques utilizing microwave signal illumination rely heavily on the ability to accurately represent the wave propagation with a suitable numerical model. To date, the highest quality images from our prototype system have been achieved utilizing a single transmitter/single receiver measurement system where both antennas are manually repositioned to facilitate multiple illuminations of the imaging region, thus requiring long data acquisition times. In an effort to develop a system that can acquire data in a real time manner, a 32-channel network has been fabricated with all ports capable of being electronically selected for either transmit or receive mode. The presence of a complete array of antenna elements at data collection time perturbs the field distributions being measured, which can subsequently degrade the image reconstruction due to increased data-model mismatch. Incorporating the nonactive antenna-compensation model from Part I of this paper into our hybrid element near field image reconstruction algorithm is shown to restore image quality when fixed antenna-array data acquisition is used. Improvements are most dramatic for inclusions located in near proximity to the antenna array itself, although cases of improvement in the recovery of centered heterogeneities are also illustrated. Increases in the frequency of illumination are found to warrant an increased need for nonactive antenna compensation. Quantitative measures of recovered inclusion shape and position reveal a systematic improvement in image reconstruction quality when the nonactive antenna-compensation model is employed. Improvements in electrical property value recovery of localized heterogeneities are also observed. Image reconstructions in freshly excised breast tissue illustrate the applicability of the approach when used with our two-dimensional microwave imaging system.

Mesh:

Year:  1999        PMID: 10463129     DOI: 10.1109/42.781016

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  6 in total

1.  3D parallel-detection microwave tomography for clinical breast imaging.

Authors:  N R Epstein; P M Meaney; K D Paulsen
Journal:  Rev Sci Instrum       Date:  2014-12       Impact factor: 1.523

2.  Clinical microwave tomographic imaging of the calcaneus: a first-in-human case study of two subjects.

Authors:  Paul M Meaney; Douglas Goodwin; Amir H Golnabi; Tian Zhou; Matthew Pallone; Shireen D Geimer; Gregory Burke; Keith D Paulsen
Journal:  IEEE Trans Biomed Eng       Date:  2012-07-17       Impact factor: 4.538

3.  Development of anatomically realistic numerical breast phantoms with accurate dielectric properties for modeling microwave interactions with the human breast.

Authors:  Earl Zastrow; Shakti K Davis; Mariya Lazebnik; Frederick Kelcz; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Trans Biomed Eng       Date:  2008-12       Impact factor: 4.538

4.  Importance of phase unwrapping for the reconstruction of microwave tomographic images.

Authors:  Tomasz M Grzegorczyk; Paul M Meaney; Soon Ik Jeon; Shireen D Geimer; Keith D Paulsen
Journal:  Biomed Opt Express       Date:  2011-01-12       Impact factor: 3.732

5.  On the Use of Focused Incident Near-Field Beams in Microwave Imaging.

Authors:  Nozhan Bayat; Puyan Mojabi
Journal:  Sensors (Basel)       Date:  2018-09-17       Impact factor: 3.576

6.  Low Cost, High Performance, 16-Channel Microwave Measurement System for Tomographic Applications.

Authors:  Paul Meaney; Alexander Hartov; Timothy Raynolds; Cynthia Davis; Sebastian Richter; Florian Schoenberger; Shireen Geimer; Keith Paulsen
Journal:  Sensors (Basel)       Date:  2020-09-22       Impact factor: 3.576

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.