Relevant bibliographies by topics / Biomedical Microwave Imaging

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Biomedical Microwave Imaging'

Author: Grafiati
Published: 14 March 2023

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Journal articles on the topic "Biomedical Microwave Imaging"

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Rafique, Umair, Stefano Pisa, Renato Cicchetti, Orlandino Testa, and Marta Cavagnaro. "Ultra-Wideband Antennas for Biomedical Imaging Applications: A Survey." Sensors 22, no. 9 (April 22, 2022): 3230. http://dx.doi.org/10.3390/s22093230.

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Microwave imaging is an active area of research that has garnered interest over the past few years. The main desired improvements to microwave imaging are related to the performances of radiating systems and identification algorithms. To achieve these improvements, antennas suitable to guarantee demanding requirements are needed. In particular, they must operate in close proximity to the objects under examination, ensure an adequate bandwidth, as well as reduced dimensions and low production costs. In addition, in near-field microwave imaging systems, the antenna should provide an ultra-wideband (UWB) response. Given the relevance of the foreseen applications, many UWB antenna designs for microwave imaging applications have been proposed in the literature. In this paper, a comprehensive review of different UWB antenna designs for near-field microwave imaging is presented. The antennas are classified according to the manufacturing technology and radiative performances. Particular attention is also paid to the radiation mechanisms as well as the techniques used to reduce the size and improve the bandwidth.
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Borra, Vamsi, Srikanth Itapu, Joao Garretto, Ronald Yarwood, Gina Morrison, Pedro Cortes, Eric MacDonald, and Frank Li. "3D Printed Dual-Band Microwave Imaging Antenna." ECS Transactions 107, no. 1 (April 24, 2022): 8631–39. http://dx.doi.org/10.1149/10701.8631ecst.

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Microwave imaging utilizes low-power near-field electromagnetic fields at microwave frequencies to detect the internal structure of an object. Sufficient resolution through the thickness is crucial in biomedical applications to detect small objects of concern. Parameters such as the frequency of microwave signals, the design, and the material of the antenna are the most important factors to consider for microwave-based biomedical sensing. The proposed antenna yields merits of: compactness in size, ease of fabrication, wider impedance bandwidth, simple design, and good RF performance. An Asymmetric-fed Coupled Stripline (ACS) antenna is 3D-printed on an FR4 substrate with return loss measurements ranging from 2 GHz to 20 GHz. The impedance bandwidth is obtained between 6 GHz to 8 GHz and 15 GHz to 17 GHz. The proposed microwave antenna was simulated using Ansys HFSS. The parameters are designed to ensure optimum radiation efficiency. The radiation patterns obtained were omnidirectional in H-plane and bidirectional in E-plane.
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Kurdyanto, Rachmat Agus, Nurhayati Nurhayati, Puput Wanarti Rusimamto, and Farid Baskoro. "STUDY COMPARATIVE OF ANTENNA FOR MICROWAVE IMAGING APPLICATIONS." INAJEEE Indonesian Journal of Electrical and Eletronics Engineering 3, no. 2 (August 28, 2020): 41. http://dx.doi.org/10.26740/inajeee.v3n2.p41-47.

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AbstractMicrowave can be applied for telecommunicaions, radar and microwave imaging. This wave has been widely used in everyday life, such as in the industrial word in the fields of robotics, microwave vision, imaging burrier objects, vehicular guidance, biomedical imaging, remote sensing, wheater radar, target tracking, and other apllications. Microwave imaging is a technology that uses electromagnetic waves at frequencies from Megahertz to Gigahertz. Utilization of microwave imaging in addition to information technology and telecommunications, this wave application can be used to process an image because of its ability to penetrate dielectric materials. The purpose of writing this article is to determine microwave imaging application, the working principle of antennas used for microwave imaging applications and antenna specifications used for microwave imaging applications. Microwave imaging research has been carried out using several different type of antennas such as vivaldi and monopole antennas. Where the signal tha is transmitted and will be exposed to the object will send a different return signal so that an image of an object will be obtained which will be processed on the computer. The working frequency of the antenna for microwave imaging applications is in a wide frequency range (UWB antenna). The antennas that are applied include the vivaldi antenna which works at a frequency of 1-11 GHz and a monopole antenna that works at a frequency 1,25-2,4 GHz for biomedical imaging applications, while for radar applications in the construction field it can use a frequency of 0,5-40 GHz.
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Gopalakrishnan, Keerthy, Aakriti Adhikari, Namratha Pallipamu, Mansunderbir Singh, Tasin Nusrat, Sunil Gaddam, Poulami Samaddar, et al. "Applications of Microwaves in Medicine Leveraging Artificial Intelligence: Future Perspectives." Electronics 12, no. 5 (February 23, 2023): 1101. http://dx.doi.org/10.3390/electronics12051101.

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Microwaves are non-ionizing electromagnetic radiation with waves of electrical and magnetic energy transmitted at different frequencies. They are widely used in various industries, including the food industry, telecommunications, weather forecasting, and in the field of medicine. Microwave applications in medicine are relatively a new field of growing interest, with a significant trend in healthcare research and development. The first application of microwaves in medicine dates to the 1980s in the treatment of cancer via ablation therapy; since then, their applications have been expanded. Significant advances have been made in reconstructing microwave data for imaging and sensing applications in the field of healthcare. Artificial intelligence (AI)-enabled microwave systems can be developed to augment healthcare, including clinical decision making, guiding treatment, and increasing resource-efficient facilities. An overview of recent developments in several areas of microwave applications in medicine, namely microwave imaging, dielectric spectroscopy for tissue classification, molecular diagnostics, telemetry, biohazard waste management, diagnostic pathology, biomedical sensor design, drug delivery, ablation treatment, and radiometry, are summarized. In this contribution, we outline the current literature regarding microwave applications and trends across the medical industry and how it sets a platform for creating AI-based microwave solutions for future advancements from both clinical and technical aspects to enhance patient care.
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Liu, Siyu, Ruochong Zhang, Zesheng Zheng, and Yuanjin Zheng. "Electromagnetic–Acoustic Sensing for Biomedical Applications." Sensors 18, no. 10 (September 21, 2018): 3203. http://dx.doi.org/10.3390/s18103203.

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This paper reviews the theories and applications of electromagnetic–acoustic (EMA) techniques (covering light-induced photoacoustic, microwave-induced thermoacoustic, magnetic-modulated thermoacoustic, and X-ray-induced thermoacoustic) belonging to the more general area of electromagnetic (EM) hybrid techniques. The theories cover excitation of high-power EM field (laser, microwave, magnetic field, and X-ray) and subsequent acoustic wave generation. The applications of EMA methods include structural imaging, blood flowmetry, thermometry, dosimetry for radiation therapy, hemoglobin oxygen saturation (SO2) sensing, fingerprint imaging and sensing, glucose sensing, pH sensing, etc. Several other EM-related acoustic methods, including magnetoacoustic, magnetomotive ultrasound, and magnetomotive photoacoustic are also described. It is believed that EMA has great potential in both pre-clinical research and medical practice.
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Cui, Yongsheng, Chang Yuan, and Zhong Ji. "A review of microwave-induced thermoacoustic imaging: Excitation source, data acquisition system and biomedical applications." Journal of Innovative Optical Health Sciences 10, no. 04 (May 29, 2017): 1730007. http://dx.doi.org/10.1142/s1793545817300075.

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Microwave-induced thermoacoustic imaging (TAI) is a noninvasive modality based on the differences in microwave absorption of various biological tissues. TAI has been extensively researched in recent years, and several studies have revealed that TAI possesses advantages such as high resolution, high contrast, high imaging depth and fast imaging speed. In this paper, we reviewed the development of the TAI technique, its excitation source, data acquisition system and biomedical applications. It is believed that TAI has great potential applications in biomedical research and clinical study.
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Zhang, Z. Q., and Q. H. Liu. "Three-Dimensional Nonlinear Image Reconstruction for Microwave Biomedical Imaging." IEEE Transactions on Biomedical Engineering 51, no. 3 (March 2004): 544–48. http://dx.doi.org/10.1109/tbme.2003.821052.

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Costanzo, S., and G. Lopez. "Phaseless Single-Step Microwave Imaging Technique for Biomedical Applications." Radioengineering 27, no. 3 (September 13, 2019): 512–16. http://dx.doi.org/10.13164/re.2019.0512.

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Mojabi, P., and J. LoVetri. "Microwave Biomedical Imaging Using the Multiplicative Regularized Gauss--Newton Inversion." IEEE Antennas and Wireless Propagation Letters 8 (2009): 645–48. http://dx.doi.org/10.1109/lawp.2009.2023602.

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Mojabi, P., and J. LoVetri. "Enhancement of the Krylov Subspace Regularization for Microwave Biomedical Imaging." IEEE Transactions on Medical Imaging 28, no. 12 (December 2009): 2015–19. http://dx.doi.org/10.1109/tmi.2009.2027703.

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Dissertations / Theses on the topic "Biomedical Microwave Imaging"

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Henriksson, Tommy. "CONTRIBUTION TO QUANTITATIVE MICROWAVE IMAGING TECHNIQUES FOR BIOMEDICAL APPLICATIONS." Doctoral thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5882.

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This dissertation presents a contribution to quantitative microwave imaging for breast tumor detection. The study made in the frame of a joint supervision Ph.D. thesis between University Paris-SUD 11 (France) and Mälardalen University (Sweden), has been conducted through two experimental microwave imaging setups, the existing 2.45 GHz planar camera (France) and the multi-frequency flexible robotic system, (Sweden), under development. In this context a 2D scalar flexible numerical tool based on a Newton-Kantorovich (NK) scheme, has been developed. Quantitative microwave imaging is a three dimensional vectorial nonlinear inverse scattering problem, where the complex permittivity of an object is reconstructed from the measured scattered field, produced by the object. The NK scheme is used in order to deal with the nonlinearity and the ill-posed nature of this problem. A TM polarization and a two dimensional medium configuration have been considered in order to avoid its vectorial aspect. The solution is found iteratively by minimizing the square norm of the error with respect to the scattered field data. Consequently, the convergence of such iterative process requires, at least two conditions. First, an efficient calibration of the experimental system has to be associated to the minimization of model errors. Second, the mean square difference of the scattered field introduced by the presence of the tumor has to be large enough, according to the sensitivity of the imaging system. The existing planar camera associated to a flexible 2D scalar NK code, are considered as an experimental platform for quantitative breast imaging. A preliminary numerical study shows that the multi-view planar system is quite efficient for realistic breast tumor phantoms, according to its characteristics (frequency, planar geometry and water as a coupling medium), as long as realistic noisy data are considered. Furthermore, a multi-incidence planar system, more appropriate in term of antenna-array arrangement, is proposed and its concept is numerically validated. On the other hand, an experimental work which includes a new fluid-mixture for the realization of a narrow band cylindrical breast phantom, a deep investigation in the calibration process and model error minimization, is presented. This conducts to the first quantitative reconstruction of a realistic breast phantom by using multi-view data from the planar camera. Next, both the qualitative and quantitative reconstruction of 3D inclusions into the cylindrical breast phantom, by using data from all the retina, are shown and discussed. Finally, the extended work towards the flexible robotic system is presented.
A dissertation prepared through an international convention for a joint supervision thesis with Université Paris-SUD 11, France
Microwaves in biomedicine
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Petrović, Nikola. "Measurement System for Microwave Imaging Towards a Biomedical Application." Doctoral thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-24878.

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Microwave imaging techniques have shown excellent capabilities in various fields such as civil engineering, nondestructive testing, industrial applications, and have in recent decades experienced strong growth as a research topic in biomedical diagnostics. Many research groups throughout the world work on prototype systems for producing images of human tissues in different biomedical applications, particularly breast tumor detection. However, the research community faces many challenges and in order to be competitive to other imaging modalities one of the means is to put emphasis on experimental work. Consequently, the use of flexible and accurate measurement systems, together with the design and fabrication of suitable antennas, are essential to the development of efficient microwave imaging systems. The first part of this thesis focuses on measurement systems for microwave imaging in terms of antenna design and development, robot controlled synthetic array geometries, permittivity measurements, and calibration. The aim was to investigate the feasibility of a flexible system for measuring the fields around an inhomogeneous object and to create quantitative images. Hence, such an aim requires solving of a nonlinear inverse scattering problem, which in turn requires accurate measurements for producing good quality experimental data. The presented solution by design of a flexible measurement system is validated by examination of microwave imaging from experimental data with a breast phantom. The second part of the thesis deals with the research challenges of designing high performance antennas to be placed in direct contact with or in close proximity to the imaged object. The need for novel antenna applicators is envisaged in the framework of the Mamacell measurement system, where the antenna applicators have to be designed and constructed to effectively couple the energy into the imaging object. For this purpose the main constraints and design requirements are a narrow lobe of the antenna, very small near-field effects, and small size. Numerical simulations and modeling shows that the proposed ridged waveguide antenna is capable of fulfilling the design requirements and the performance goals, demonstrating the potential for the future microwave imaging system called Mamacell.
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Guardiola, Garcia Marta. "Multi-antenna multi-frequency microwave imaging systems for biomedical applications." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/134967.

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Medical imaging refers to several different technologies that are used to view the human body in order to diagnose, monitor, or treat medical conditions. Each type of technology gives different information about the area of the body being studied depending on the radiation used to illuminate de body. Nowadays there are still several lesions that cannot be detected with the current methods in a curable stage of the disease. Moreover they present some drawbacks that limit its use, such as health risk, high price, patient discomfort, etc. In the last decades, active microwave imaging systems are being considered for the internal inspection of light-opaque materials thanks to its capacity to penetrate and differentiate their constituents based on the contrast in dielectric properties with a sub-centimeter resolution. Moreover, they are safe, relatively low-cost and portable. Driven by the promising precedents of microwaves in other fields, an active electromagnetic research branch was focused to medical microwave imaging. The potential in breast cancer detection, or even in the more challenging brain stroke detection application, were recently identified. Both applications will be treated in this Thesis. Intensive research in tomographic methods is now devoted to develop quantitative iterative algorithms based on optimizing schemes. These algorithms face a number of problems when dealing with experimental data due to noise, multi-path or modeling inaccuracies. Primarily focused in robustness, the tomographic algorithm developed and assessed in this thesis proposes a non-iterative and non-quantitative implementation based on a modified Born method. Taking as a reference the efficient, real-time and robust 2D circular tomographic method developed in our department in the late 80s, this thesis proposes a novel implementation providing an update to the current state-of-the-art. The two main contributions of this work are the 3D formulation and the multi-frequency extension, leading to the so-called Magnitude Combined (MC) Tomographic algorithm. First of all, 2D algorithms were only applicable to the reconstruction of objects that can be assumed uniform in the third dimension, such as forearms. For the rest of the cases, a 3D algorithm was required. Secondly, multi-frequency information tends to stabilize the reconstruction removing the frequency selective artifacts while maintaining the resolution of the higher frequency of the band. This thesis covers the formulation of the MC tomographic algorithm and its assessment with medically relevant scenarios in the framework of breast cancer and brain stroke detection. In the numerical validation, realistic models from magnetic resonances performed to real patients have been used. These models are currently the most realistic ones available to the scientific community. Special attention is devoted to the experimental validation, which constitutes the main challenge of the microwave imaging systems. For this reason, breast phantoms using mixtures of chemicals to mimic the dielectric properties of real tissues have been manufactured and an acquisition system to measure these phantoms has been created. The results show that the proposed algorithm is able to provide robust images of medically realistic scenarios and detect a malignant breast lesion and a brain hemorrhage, both at an initial stage.
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Liew, Soo Chin. "Thermoacoustic emission induced by deeply penetrating radiation and its application to biomedical imaging." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184783.

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Thermoacoustic emissions induced by 2450 MHz microwave pulses in water, tissue-simulating phantoms and dog kidneys have been detected. The analytic signal magnitude has been employed in generating 'A-mode' images with excellent depth resolution. Thermoacoustic emissions have also been detected from the dose-gradient at the beam edges of a 4 MeV x-ray beam in water. These results establish the feasibility of employing thermoacoustic signals in generating diagnostic images, and in locating x-ray beam edges during radiation therapy. A theoretical model for thermoacoustic imaging using a directional transducer has been developed, which may be used in the design of future thermoacoustic imaging system, and in facilitating comparisons with other types of imaging systems. A method of characterizing biological tissues has been proposed, which relates the power spectrum of the detected thermoacoustic signals to the autocorrelation function of the thermoacoustic source distribution in the tissues. The temperature dependence of acoustic signals induced by microwave pulses in water has been investigated. The signal amplitudes vary with temperature as the thermal expansion of water, except near 4°C. The signal waveforms show a gradual phase change as the temperature changes from below 4° to above 4°C. This anomaly is due to the presence of a nonthermal component detected near 4°C, whose waveform is similar to the derivative of the room temperature signal. The results are compared to a model based on a nonequilibrium relaxation mechanism proposed by Pierce and Hsieh. The relaxation time was found to be (0.20±0.02) ns and (0.13±0.02) ns for 200 ns and 400 ns microwave pulse widths, respectively. A microwave-induced thermoacoustic source capable of launching large aperture, unipolar ultrasonic plane wave pulses in water has been constructed. This source consists of a thin water layer trapped between two dielectric media. Due to the large mismatch in the dielectric constants, the incident microwaves undergo multiple reflections between the dielectric boundaries trapping the water, resulting in an enhanced specific microwave absorption in the thin water layer. This source may be useful in ultrasonic scattering and attenuation experiments.
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Kawoos, Usmah Rosen Arye. "Embedded wireless intracranial pressure monitoring implant at microwave frequencies /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3034.

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Islam, Md Asiful. "Efficient Microwave Imaging Algorithms with On-Body Sensors for Real-Time Biomedical Detection and Monitoring." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1502906869993589.

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Ku, Geng. "Photoacoustic and thermoacoustic tomography: system development for biomedical applications." Texas A&M University, 2004. http://hdl.handle.net/1969.1/3181.

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Photoacoustic tomography (PAT), as well as thermoacoustic tomography (TAT), utilize electromagnetic radiation in its visible, near infrared, microwave, and radiofrequency forms, respectively, to induce acoustic waves in biological tissues for imaging purposes. Combining the advantages of both the high image contrast that results from electromagnetic absorption and the high resolution of ultrasound imaging, these new imaging modalities could be the next successful imaging techniques in biomedical applications. Basic research on PAT and TAT, and the relevant physics, is presented in Chapter I. In Chapter II, we investigate the imaging mechanisms of TAT in terms of signal generation, propagation and detection. We present a theoretical analysis as well as simulations of such imaging characteristics as contrast and resolution, accompanied by experimental results from phantom and tissue samples. In Chapter III, we discuss the further application of TAT to the imaging of biological tissues. The microwave absorption difference in normal and cancerous breast tissues, as well as its influence on thermoacoustic wave generation and the resulting transducer response, is investigated over a wide range of electromagnetic frequencies and depths of tumor locations. In Chapter IV, we describe the mechanism of PAT and the algorithm used for image reconstruction. Because of the broad bandwidth of the laser-induced ultrasonic waves and the limited bandwidth of the single transducer, multiple ultrasonic transducers, each with a different central frequency, are employed for simultaneous detection. Chapter V further demonstrates PAT’s ability to image vascular structures in biological tissue based on blood’s strong light absorption capability. The photoacoustic images of rat brain tumors in this study clearly reveal the angiogenesis that is associated with tumors. In Chapter VI, we report on further developing PAT to image deeply embedded optical heterogeneity in biological tissues. The improved imaging ability is attributed to better penetration by NIR light, the use of the optical contrast agent ICG (indocyanine green) and a new detection scheme of a circular scanning configuration. Deep penetrating PAT, which is based on a tissue’s intrinsic contrast using laser light of 532 nm green light and 1.06 µm near infrared light, is also presented.
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Ghavami, Navid. "Ultra-wideband imaging techniques for medical applications." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:6f590d26-ee7c-41d7-a89b-393c864c9d82.

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Ultra-wideband (UWB) radio techniques have long promised good contrast and high resolution for imaging human tissue and tumours; however, to date, this promise has not entirely been realised. In recent years, microwave imaging has been recognised as a promising non-ionising and non-invasive alternative screening technology, gaining its applicability to breast cancer by the significant contrast in the dielectric properties at microwave frequencies of normal and malignant tissues. This thesis deals with the development of two novel imaging methods based on UWB microwave signals. First, the mode-matching (MM) Bessel-functions-based algorithm, which enables the identification of the presence and location of significant scatterers inside cylindrically-shaped objects is introduced. Next, with the aim of investigating more general 3D problems, the Huygens principle (HP) based procedure is presented. Using HP to forward propagate the waves removes the need to apply matrix generation/inversion. Moreover, HP method provides better performance when compared to conventional time-domain approaches; specifically, the signal to clutter ratio reaches 8 dB, which matches the best figures that have been published. In addition to their simplicity, the two proposed methodologies permit the capture of a minimum dielectric contrast of 1:2, the extent to which different tissues, or differing conditions of tissues, can be discriminated in the final image. Moreover, UWB allows all the information in the frequency domain to be utilised, by combining information gathered from the individual frequencies to construct a consistent image with a resolution of approximately one quarter of the shortest wavelength in the dielectric medium. The power levels used and the specific absorption rates are well within safety limits, while the bandwidths satisfy the UWB definition of being at least 20% of the centre frequencies. It follows that the methodologies permit the detection and location of significant scatterers inside a volume. Validation of the techniques through both simulations and measurements have been performed and presented, illustrating the effectiveness of the methods.
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Qin, Yingying. "Early breast anomalies detection with microwave and ultrasound modalities." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG058.

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Résumé: L'imagerie du sein est développée en associant données micro-ondes (MW) et ultrasonores (US) afin de détecter de manière précoce des tumeurs. On souhaite qu'aucune contrainte soit imposée, le sein étant supposé libre. Une 1re approche utilise des informations sur les frontières des tissus provenant de données de réflexion US. La régularisation intègre que deux pixels voisins présentent des propriétés MW similaires s'il ne sont pas sur une frontière. Ceci est appliqué au sein de la méthode itérative de Born distordue. Une 2de approche implique une régularisation déterministe préservant les bords via variables auxiliaires indiquant si un pixel est ou non sur un bord. Ces variables sont partagées par les paramètres MW et US. Ceux-ci sont conjointement optimisés à partir d'ume approche de minimisation alternée. L'algorithme met alternitivement à jour contraste US, marqueurs, et contraste MW. Une 3e approche implique réseaux de neurones convolutifs. Le courant de contraste estimé et le champ diffusé sont les entrées. Une structure multi-flux se nourrit des données MW et US. Le réseau produit les cartes des paramètres MW et US en temps réel. Outre la tâche de régression, une stratégie d'apprentissage multitâche est utilisée avec un classificateur qui associe chaque pixel à un type de tissu pour produire une image de segmentation. La perte pondérée attribue une pénalité plus élevée aux pixels dans les tumeurs si il sont mal classés. Une 4e approche implique un formalisme bayésien où la distribution a posteriori jointe est obtenue via la règle de Bayes ; cette distribution est ensuite approchée par une loi séparable de forme libre pour chaque ensemble d'inconnues pour obtenir l'estimation. Toutes ces méthodes de résolution sont illustrées et comparées à partir d'un grand nombre de données simulées sur des modèles synthétiques simples et sur des coupes transversales de fantômes mammaires numériques anatomiquement réalistes dérivés d'IRM dans lesquels de petites tumeurs artificielles sont insérées
Imaging of the breast for early detec-tion of tumors is studied by associating microwave (MW) and ultrasound (US) data. No registration is enforced since a free pending breast is tackled. A 1st approach uses prior information on tissue boundaries yielded from US reflection data. Regularization incorporates that two neighboring pixels should exhibit similar MW properties when not on a boundary while a jump allowed otherwise. This is enforced in the distorted Born iterative and the contrast source inversion methods. A 2nd approach involves deterministic edge preserving regularization via auxiliary variables indicating if a pixel is on an edge or not, edge markers being shared by MW and US parameters. Those are jointly optimized from the last parameter profiles and guide the next optimization as regularization term coefficients. Alternate minimization is to update US contrast, edge markers and MW contrast. A 3rd approach involves convolutional neural networks. Estimated contrast current and scattered field are the inputs. A multi-stream structure is employed to feed MW and US data. The network outputs the maps of MW and US parameters to perform real-time. Apart from the regression task, a multi-task learning strategy is used with a classifier that associates each pixel to a tissue type to yield a segmentation image. Weighted loss assigns a higher penalty to pixels in tumors when wrongly classified. A 4th approach involves a Bayesian formalism where the joint posterior distribution is obtained via Bayes’ rule; this true distribution is then approximated by a free-form separable law for each set of unknowns to get the estimate sought. All those solution methods are illustrated and compared from a wealth of simulated data on simple synthetic models and on 2D cross-sections of anatomically-realistic MRI-derived numerical breast phantoms in which small artificial tumors are inserted
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Kaye, Cameron Jon. "Development and calibration of microwave tomography imaging systems for biomedical applications using computational electromagnetics." 2009. http://hdl.handle.net/1993/21477.

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Books on the topic "Biomedical Microwave Imaging"

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Arye, Rosen, and Rosen Harel D, eds. New frontiers in medical device technology. New York: Wiley, 1995.

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(Editor), Peter Török, and Fu-Jen Kao (Editor), eds. Optical Imaging and Microscopy: Techniques and Advanced Systems (Springer Series in Optical Sciences) (Springer Series in Optical Sciences). 2nd ed. Springer, 2007.

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Book chapters on the topic "Biomedical Microwave Imaging"

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Kikkawa, Takamaro, Hang Song, Koji Arihiro, and Shinsuke Sasada. "Microwave Imaging for Breast Cancer Screening." In Biomedical Engineering, 171–211. New York: Jenny Stanford Publishing, 2021. http://dx.doi.org/10.1201/9781003141945-10.

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Jayanthy, Maniam, N. Selvanathan, M. Abu-Bakar, D. Smith, H. M. Elgabroun, P. M. Yeong, and S. Senthil Kumar. "Microwave Holographic Imaging Technique for Tumour Detection." In 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006, 275–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-68017-8_71.

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Brito-Filho, F. A., D. Carvalho, and W. A. M. V. Noije. "Near Field Radar System Modeling for Microwave Imaging and Breast Cancer Detection Applications." In XXVII Brazilian Congress on Biomedical Engineering, 1009–15. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-70601-2_150.

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Marganakop, Sheetal, Pramod Kattimani, Sudha Belgur Satyanarayana, and Ravindra Kamble. "Microwave Synthesized Functional Dyes." In Microwave Heating - Electromagnetic Fields Causing Thermal and Non-Thermal Effects. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.94946.

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Microwave chemistry involves the application of microwave radiation to chemical reactions and has played an important role in organic synthesis. Functional dyes are those with hi-tech applications and this chapter attempts to provide an overview of the recent developments in microwave-assisted synthesis of functional dyes. Emphasis has been paid to the microwave-assisted synthesis of dye molecules which are useful in hi-tech applications such as optoelectronics (dye-sensitized solar cells), photochromic materials, liquid crystal displays, newer emissive displays (organic-light emitting devices), electronic materials (organic semiconductors), imaging technologies (electrophotography viz., photocopying and laser printing), biomedical applications (fluorescent sensors and anticancer treatment such as photodynamic therapy). In this chapter, the advantages of microwaves as a source of energy for heating synthesis reactions have been demonstrated. The use of microwaves to functional dyes is a paradigm shift in dye chemistry. Until recently most academic laboratories did not practice this technique in the synthesis of such functional dyes but many reports are being appeared in the journals of high repute.
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"Compressive Sensing Based Holographic Microwave Imaging." In Electromagnetic Induction Imaging: Theory and Biomedical Applications, 73–96. ASME Press, 2019. http://dx.doi.org/10.1115/1.860465_ch5.

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M. Meaney, Paul, and Keith D. Paulsen. "Theoretical Premises and Contemporary Optimizations of Microwave Tomography." In Microwave Technologies [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.103011.

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Microwave imaging has long been proposed as an effective means for biomedical applications—breast cancer detection and therapy monitoring being the most prominent because of the endogenous dielectric property contrast between malignant and normal breast tissue. While numerous numerical simulations have been presented demonstrating feasibility, translation to actual physical and clinical implementations have been lacking. In contrast, the Dartmouth team has taken somewhat counterintuitive but fundamentals-based approaches to the problem—primarily addressing the confounding multipath signal corruption problem and exploiting core concepts from the parameter estimation community. In so doing, we have configured a unique system design that is a synergism of both the hardware and software worlds. In this paper, we describe our approaches in the context of competing strategies and suggest rationales for why these techniques work—especially in 2D. Finally, we present data from actual neoadjuvant chemotherapy exams that confirm that our technique is capable of imaging the tumor and also visualizing its progression during treatment.
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Althubitat Al Amro, Wasan H., and Boon-Chong Seet. "Review of practical antennas for microwave and millimetre-wave medical imaging." In Electromagnetic Waves and Antennas for Biomedical Applications, 185–207. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/pbhe033e_ch6.

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Katoch, G. "Recent Advances in Processing, Characterizations and Biomedical Applications of Spinel Ferrite Nanoparticles." In Materials Research Foundations, 62–120. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901595-2.

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Many researchers are interested in investigating ceramic materials because of the potential for their use in nanotechnology. Spinel ferrites are a diverse group of materials with many applications. Electronic devices such as inductors, power, information storage, microwave, and induction tuners are only a few examples. As ferrite materials exhibit super-paramagnetic activity, their potential for biological applications such as drug delivery, hyperthermia, and resonance magnetic imaging. As a result, super-paramagnetism is a highly desirable property in spinel ferrites. Due to the size dependence, the methodologies used to synthesis of these materials have emerged as a critical step in achieving the desired properties. Many synthesis strategies have been developed in this regard such as sol-gel, co-precipitation, solid-state, solution combustion method and so on. As a result, this study provides a historical overview of spinel ferrites, as well as key principles for comprehending their various characterization techniques and properties. Recent developments in the synthesis and applications of spinel ferrites are also discussed.
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Conference papers on the topic "Biomedical Microwave Imaging"

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Bialkowski, K. S., J. Marimuthu, and A. M. Abbosh. "Low-cost microwave biomedical imaging." In 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2016. http://dx.doi.org/10.1109/iceaa.2016.7731494.

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Abubakar, Aria, Peter M. van den Berg, and Jordi J. Mallorqui. "Full nonlinear inversion of microwave biomedical data." In Medical Imaging 2002, edited by Milan Sonka and J. Michael Fitzpatrick. SPIE, 2002. http://dx.doi.org/10.1117/12.467226.

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Ozgun, Ozlem, and Mustafa Kuzuoglu. "A microwave imaging model for biomedical applications." In 2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2017. http://dx.doi.org/10.1109/apusncursinrsm.2017.8073229.

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Wang, Lulu. "An Improved Holographic Microwave Breast Imaging Based on Deep Neural Network." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10910.

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Abstract Microwave imaging offers excellent potential for breast cancer detection. Deep learning is state-of-the-art in biomedical imaging, which has been successfully applied for biomedical image classifications. This paper investigates a deep neural network (DNN) based classification method for identifying breast lesion in holographic microwave image (HMI). A computer model is developed to demonstrate the proposed method under practical consideration. Various experiments are carried out to evaluate the proposed DNN-based HMI for breast lesion classification. Results have shown that the proposed method could serve as a helpful imaging tool for automatically classifying different types of breast tissues.
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Zeng, Xuezhi, Albert Monteith, Andreas Fhager, Mikael Persson, and Herbert Zirath. "Time domain microwave imaging system for biomedical applications." In 2016 46th European Microwave Conference (EuMC). IEEE, 2016. http://dx.doi.org/10.1109/eumc.2016.7824434.

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Stancombe, Anthony E., and Konstanty S. Bialkowski. "Portable Biomedical Microwave Imaging Using Software- Defined Radio." In 2018 Asia-Pacific Microwave Conference (APMC). IEEE, 2018. http://dx.doi.org/10.23919/apmc.2018.8617306.

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Daryoush, A. S., K. Pourrezaei, K. Izzetoglu, E. Papazoglou, L. Zubkov, and B. Onaral. "Microwave Photonics applied to fNIR based biomedical imaging?" In LEOS 2009 -22nd Annuall Meeting of the IEEE Lasers and Electro-Optics Society (LEO). IEEE, 2009. http://dx.doi.org/10.1109/leos.2009.5343362.

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Chang, Dau-Chyrh, Li-Der Fang, Wen-Hsien Fang, and Chih-Hung Lee. "Tradeoff study of microwave imaging for biomedical application." In 2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO). IEEE, 2013. http://dx.doi.org/10.1109/imws-bio.2013.6756257.

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Mojabi, Pedram, and Joe LoVetri. "Microwave and ultrasound imaging for biomedical tissue identification." In 2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). IEEE, 2014. http://dx.doi.org/10.1109/usnc-ursi.2014.6955438.

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LoVetri, Joe, Puyan Mojabi, Amer Zakaria, Majid Ostadrahimi, and Ian Jeffrey. "System and formulation options for biomedical microwave imaging." In 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS). IEEE, 2014. http://dx.doi.org/10.1109/ursigass.2014.6930130.

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You might also be interested in the extended bibliographies on the topic 'Biomedical Microwave Imaging' for particular source types:
Journal articles
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