An Introduction to Microwave Imaging for Breast Cancer by Raquel Cruz Conceição, Johan Jacob Mohr, Martin O'Halloran

By Raquel Cruz Conceição, Johan Jacob Mohr, Martin O'Halloran

This e-book collates previous and present learn on the most promising rising modalities for breast melanoma detection. Readers will detect how, as a standalone expertise or together with one other modality, microwave imaging has the capability to supply trustworthy, secure and cozy breast checks at cost-efficient. present breast imaging modalities comprise X- ray, Ultrasound, Magnetic Resonance Imaging, and Positron Emission Tomography. each one of those equipment suffers from obstacles, together with terrible sensitivity or specificity, excessive fee, sufferer soreness, and publicity to almost certainly damaging ionising radiation. Microwave breast imaging relies on a distinction within the dielectric houses of breast tissue that exists at microwave frequencies.

The booklet starts via contemplating the anatomy and dielectric homes of the breast, contrasting ancient and up to date experiences. subsequent, radar-based breast imaging algorithms are mentioned, encompassing either early-stage artefact elimination, and knowledge self sufficient and adaptive beamforming algorithms. similarly, microwave tomographic reconstruction algorithms are reviewed within the following bankruptcy, introducing the reader to either the basic and extra complicated algorithms. except imaging, the e-book additionally stories study efforts in extracting clinically precious details from the Radar goal Signature of breast tumours, that's used to categorise tumours as both benign or malignant. eventually, the booklet concludes by means of describing the present state-of-the-art when it comes to prototype microwave breast imaging structures, with a selected emphasis on these that have advanced to the scientific evaluate stage.

This paintings is prompted via the truth that breast melanoma is likely one of the prime reasons of demise among ladies in Europe and the united states, and the second one commonest melanoma on this planet at the present time. Such a huge region of analysis will entice many students and practitioners.p>

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Extra resources for An Introduction to Microwave Imaging for Breast Cancer Detection

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With global methods, we do not constrain ourselves by using the gradient, but attempt instead to search the entire solution 30 T. J. g. by using particle swarm or genetic algorithms. However, for each new proposed solution in these methods, it is necessary to calculate the elements in the c vector S . For three-dimensional tomography systems this can be a time-consuming task, lasting hours, even on high-performance computers. Therefore, the most widespread methods are the gradient-based—even though these have the drawback of being susceptible to getting trapped in local, erroneous minima which the global methods avoid.

29), it is observed that the requirements for the contrast of electrically large objects are much stricter than that for the contrast of electrically small objects. 3 Diffraction Tomography Although the inverse microwave tomography problem based on the first-order Born approximation can be approached as a Fredholm integral equation of the first kind and solved using one of the numerous standard methods, a more widespread approach for solving the problem is the so-called diffraction tomography. 28 T.

Med Phys 28(11):2358–2369 [50] Meaney PM, Paulsen KD, Pogue BW, Miga MI (2001b) Microwave image reconstruction utilizing log-magnitude and unwrapped phase to improve high-contrast object recovery. 913177 [51] Mojabi P, LoVetri J (2009) Microwave Biomedical Imaging Using the Multiplicative Regularized Gauss–Newton Inversion. 2023602 [52] Mojabi P, LoVetri J, Shafai L (2011) A Multiplicative Regularized Gauss-Newton Inversion for Shape and Location Reconstruction. 2165487 [53] Natterer F, Wubbeling F (1995) A propagation-backpropagation method for ultrasound tomography.

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