Experimental Investigation of an Optimization Approach to Microwave Tomography

Hashemzadeh, Parham; Fhager, Andreas

doi:10.1080/15368370600572920

Cited by 21 publications

(14 citation statements)

References 7 publications

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“…23,40 Excellent reviews of the subject are those of Foster and Cheever 21 and Rosen et al 23 Since the 1970s, several research groups have carried out clinical evaluations of microwave radiometry (passive, hybrid, and active approaches). [218][219][220][221][222][223][224][225][226][227][228][229][230][231][232][233][234][235][236][237] The most important work was done by Barret et al 220 in the fi eld of breast cancer screening. One thousand patients were examined at the Faulkner Hospital in Boston with microwave radiometry (operating at 1.3, 3.3, and 6 GHz) and infrared thermography.…”

Section: Viic Microwave Radiometric Imagingmentioning

confidence: 99%

Thermal Therapy, Part IV: Electromagnetic and Thermal Dosimetry

Habash

Bansal

Krewski

et al. 2007

Crit Rev Biomed Eng

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ABSTRACT:In this article some of the important techniques in electromagnetic (EM) and thermal dosimetry are reviewed. Three major areas are discussed: modeling power deposition and estimation of EM energy absorbed by tissues exposed to EM radiation, electrical-thermal modeling for thermal therapy with various models of heat transfer in living tissues, and thermal dosimetry using invasive and noninvasive thermometry. Knowledge about the temperature distributions achieved can only be obtained by treatment planning of patient therapy. This process is called thermal therapy planning system (TTPS), which is a large and complex system for design, control, documentation, and evaluation of the treatment that also provides data for treatment optimization. Various imaging techniques for guidance and monitoring necessary for clinical treatments are also discussed. The review concludes by suggesting future avenues for investigations.

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Section: Viic Microwave Radiometric Imagingmentioning

confidence: 99%

Thermal Therapy, Part IV: Electromagnetic and Thermal Dosimetry

Habash

Bansal

Krewski

et al. 2007

Crit Rev Biomed Eng

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“…Microwave tomography is an inverse problem with several promising applications in e.g., non-invasive medical imaging, early detection of breast tumors [79,16,20,21,27], and non-destructive testing [2,13,14]. However, there still remains many important analytical and computational challenges related to these highly non-linear and often ill-conditioned imaging/estimation problems [17,30].…”

Section: Introductionmentioning

confidence: 99%

A systematic approach to robust preconditioning for gradient-based inverse scattering algorithms

2008

Self Cite

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This paper presents a systematic approach to robust preconditioning for gradient-based nonlinear inverse scattering algorithms. In particular, one-and two-dimensional inverse problems are considered where the permittivity and conductivity profiles are unknown and the input data consist of the scattered field over a certain bandwidth. A time-domain least-squares formulation is employed and the inversion algorithm is based on a conjugate gradient or quasi-Newton algorithm together with an FDTD-electromagnetic solver. A Fisher information analysis is used to estimate the Hessian of the error functional. A robust preconditioner is then obtained by incorporating a parameter scaling such that the scaled Fisher information has a unit diagonal. By improving the conditioning of the Hessian, the convergence rate of the conjugate gradient or quasi-Newton methods are improved. The preconditioner is robust in the sense that the scaling, i.e. the diagonal Fisher information, is virtually invariant to the numerical resolution and the discretization model that is employed. Numerical examples of image reconstruction are included to illustrate the efficiency of the proposed technique.

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“…During the last decade, the use of microwave imaging as a screening tool for detection of breast cancer has gained the attention of an increasing number of research groups [1][2][3][4][5]. The use of microwave imaging is seen as an appealing alternative or supplement to the widely used X-ray mammography for two main reasons.…”

Section: Introductionmentioning

confidence: 99%

Including antenna models in microwave imaging for breast cancer screening

Rubaek

Meincke

2006

2006 First European Conference on Antennas and Propagation

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Microwave imaging is emerging as a tool for screening for breast cancer, but the lack of methods for including the characteristics of the antennas of the imaging systems in the imaging algorithms limits their performance. In this paper, a method for incorporating the full antenna characteristics, in terms of the transmission-matrix representation, in a frequencydomain imaging algorithm is presented. The algorithm is tested on a simulation of the PhysicalAnomaly Tomography (PAT) scanner imaging system developed at the Technical University of Denmark and is shown to have superior performance when compared to a simple algorithm in which the antennas are assumed to be ideal dipoles.

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Experimental Investigation of an Optimization Approach to Microwave Tomography

Cited by 21 publications

References 7 publications

Thermal Therapy, Part IV: Electromagnetic and Thermal Dosimetry

Thermal Therapy, Part IV: Electromagnetic and Thermal Dosimetry

A systematic approach to robust preconditioning for gradient-based inverse scattering algorithms

Including antenna models in microwave imaging for breast cancer screening

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