Microwave characterization of breast‐phantom materials

Bindu, G.; Lonappan, Anil; Thomas, Vinu; Hamsakkutty, V.; Aanandan, C. K.; Mathew, K. T.

doi:10.1002/mop.20517

Cited by 16 publications

(12 citation statements)

References 7 publications

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“…Dielectric parameters of the material in the frequency range of 2000-4000 MHz are done using cavity perturbation technique [12,13]. The results are compared with that of the breast tissue data [6] and good agreement is observed [12]. This frequency range is adopted, as the resonant frequency of the antenna used in our microwave imaging studies is 3000 MHz.…”

Section: Coupling Mediummentioning

confidence: 95%

Active Microwave Imaging for Breast Cancer Detection

Bindu¹,

Abraham²,

Lonappan³

et al. 2006

PIER

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105

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Abstract-Active microwave imaging is explored as an imaging modality for early detection of breast cancer. When exposed to microwaves, breast tumor exhibits electrical properties that are significantly different from that of healthy breast tissues. The two approaches of active microwave imaging -confocal microwave technique with measured reflected signals and microwave tomographic imaging with measured scattered signals are addressed here. Normal and malignant breast tissue samples of same person are subjected to study within 30 minutes of mastectomy. Corn syrup is used as coupling medium, as its dielectric parameters show good match with that of the normal breast tissue samples. As bandwidth of the transmitter is an important aspect in the time domain confocal microwave imaging approach, wideband bowtie antenna having 2:1 VSWR bandwidth of 46% is designed for the transmission and reception of microwave signals. Same antenna is used for microwave tomographic imaging too at the frequency of 3000 MHz. Experimentally obtained time domain results are substantiated by finite difference time domain (FDTD) analysis. 2-D tomographic images are reconstructed with the collected scattered data using distorted Born iterative method. Variations of dielectric permittivity in breast samples are distinguishable from the obtained permittivity profiles.

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Section: Coupling Mediummentioning

confidence: 95%

Active Microwave Imaging for Breast Cancer Detection

Bindu¹,

Abraham²,

Lonappan³

et al. 2006

PIER

Self Cite

105

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“…The most important metrics are the ratios between the dielectric properties values for different breast tissues [4,5], which is approximately, fatty-tissue : skin : glandulartissue : tumor ∼ 1 : (1.5 to 5) : (2 to 4) : (9 to 10 or more) [7,22]. According to some research, even these ratios are not fixed and may vary [2,5,6,13,18,22,23].…”

Section: Materials Investigation For Breast Phantom and Tumor Construcmentioning

confidence: 99%

Experimental Breast Tumor Detection Using Nn-Based Uwb Imaging

Al-Shehri¹,

Khatun²,

Jantan³

et al. 2011

PIER

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Abstract-This paper presents a system with experimental complement to a simulation work for early breast tumor detection. The experiments are conducted using commercial Ultrawide-Band (UWB) transceivers, Neural Network (NN) based Pattern Recognition (PR) software for imaging and proposed breast phantoms for homogenous and heterogeneous tissues. The proposed breast phantoms (homogeneous and heterogeneous) and tumor are constructed using available low cost materials and their mixtures with minimal effort. A specific glass is used as skin. All the materials and their mixtures are considered according to the ratio of the dielectric properties of the breast tissues. Experiments to detect tumor are performed in regular noisy room environment. The UWB signals are transmitted from one side of the breast phantom (for both cases) and received from opposite side diagonally repeatedly. Using discrete cosine transform (DCT) of these received signals, a Neural Network (NN) module is developed, trained and tested. The tumor existence, size and location detection rates for both cases are highly satisfactory, which are approximately: (i) 100%, 95.8% and 94.3% for homogeneous and (ii) 100%, 93.4% and 93.1% for heterogeneous cases respectively. This gives assurance of early detection and the practical usefulness of the developed system in near future.

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“…Dielectric parameters of the material in the frequency range of 2-4 GHz are done using cavity perturbation technique (Bindu et al, 2004a, Mathew andRareendranth, 1999). This frequency range is adopted, as the resonant frequency of the antenna used in our microwave imaging studies is 3 Ghz.…”

Section: Coupling Mediummentioning

confidence: 99%

Two-dimensional Microwave Tomographic Imaging of Breast Tissues

Bindu¹,

Abraham²,

Lonappan³

et al. 2005

International J. of Cancer Research

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Despite its recognized value in detecting and characterizing breast disease, X-ray mammography has important limitations that motivate the quest for alternatives to augment the diagnostic tools that are currently available to the radiologist. The rationale for pursuing electromagnetic methods are based on the significant dielectric contrast between normal and cancerous breast tissues, when exposed to microwaves. The present study analyzes two-dimensional microwave tomographic imaging on normal and malignant breast tissue samples extracted by mastectomy, to assess the suitability of the technique for early detection of breast cancer. The tissue samples are immersed in matching coupling medium and are illuminated by 3 GHz signal. 2-D tomographic images of the breast tissue samples are reconstructed from the collected scattered data using distorted Born iterative method.Variations of dielectric permittivity in breast samples are distinguishable from the obtained permittivity profiles, which is a clear indication of the presence of malignancy. Hence microwave tomographic imaging is proposed as an alternate imaging modality for early detection of breast cancer.

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Microwave characterization of breast‐phantom materials

Cited by 16 publications

References 7 publications

Active Microwave Imaging for Breast Cancer Detection

Active Microwave Imaging for Breast Cancer Detection

Experimental Breast Tumor Detection Using Nn-Based Uwb Imaging

Two-dimensional Microwave Tomographic Imaging of Breast Tissues

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