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Feasibility Study of Lesion Classification via Contrast-Agent-Aided UWB Breast Imaging

Feasibility Study of Lesion Classification via Contrast-Agent-Aided UWB Breast Imaging,10.1109/TBME.2009.2038788,IEEE Transactions on Biomedical Engin

Feasibility Study of Lesion Classification via Contrast-Agent-Aided UWB Breast Imaging   (Citations: 5)
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This letter investigates the feasibility of applying contrast agents for lesion classification in ultra wideband (UWB) breast imaging. Previous study has focused on distinguishing benign from malignant masses by exploiting their morphology-dependent backscatter signature via the complex natural resonances of the late-time target response. The tissue differentiation capability, however, deteriorates severely if the intrinsic contrast between the dielectric properties of dysplastic and normal tissues are small. A possible solution to this problem is proposed in this letter via the use of microwave contrast agents, where the damping factors of the differential backscatter responses before and after the infusion of contrast agents to a dysplastic inclusion are used to correlate with the anomaly shapes. The feasibility of this approach for lesion classification is demonstrated through comprehensive simulation studies using realistic numerical breast models.
Journal: IEEE Transactions on Biomedical Engineering - IEEE TRANS BIOMED ENG , vol. 57, no. 5, pp. 1003-1007, 2010
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    • ...Differential imaging methods could then be applied by comparing the images before and after the introduction of the contrast agent [6], [7]...
    • ...In the differential imaging methods of [6], [7] a dielectric contrast as high as 30% was assumed, based on the results obtained in [8] for solutions of microbubbles in ethelyne glycol liquid phantom...

    Olumide Ogunladeet al. Measurement of the complex permittivity of microbubbles using a cavity...

    • ...A similar assumption was made in [8] for lesion classification based on complex natural resonances, and in [9] for cancer detection via microwave tomography...
    • ...Similarly to [8], we have generated random targets to model the tumors, which are assumed to fall into one of the following two categories in accordance with shape and margin descriptors used in mammography [10]: oval/macrolobulated (OMA) shapes corresponding to benign lesions, and microlobulated/spiculated (MIS) shapes corresponding to malignant tumors...

    P. Kosmaset al. Time reversal microwave breast imaging for contrast-enhanced tumor cla...

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