Alexander E. Bulyshev
Carolinas Medical Center
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Featured researches published by Alexander E. Bulyshev.
IEEE Transactions on Microwave Theory and Techniques | 2005
Serguei Y. Semenov; Alexander E. Bulyshev; Aria Abubakar; Vitaly G. Posukh; Yuri E. Sizov; Alexander E. Souvorov; P.M. van den Berg; Thomas Williams
Microwave tomography is an imaging modality based on differentiation of dielectric properties of an object. The dielectric properties of biological tissues and its functional changes have high medical significance. Biomedical applications of microwave tomography are a very complicated and challenging problem, from both technical and image reconstruction point-of-views. The high contrast in tissue dielectric properties presenting significant advantage for diagnostic purposes possesses a very challenging problem from an image-reconstruction prospective. Different imaging approaches have been developed to attack the problem, such as two-dimensional (2-D) and three-dimensional (3-D), minimization, and iteration schemes. The goal of this research is to study imaging performance of the Newton and the multiplicative regularized contrast source inversion (MR-CSI) methods in 2-D geometry and gradient and MR-CSI methods in 3-D geometry using high-contrast, medium-size phantoms, and biological objects. Experiments were conducted on phantoms and excised segment of a pig hind-leg using a 3-D microwave-tomographic system operating at frequencies of 0.9 and 2.05 GHz. Both objects being of medium size (10-15 cm) possess high dielectric contrasts. Reconstructed images were obtained using all imaging approaches. Different approaches are evaluated and discussed based on its performance and quality of reconstructed images.
IEEE Transactions on Biomedical Engineering | 2001
Alexander E. Bulyshev; Serguei Y. Semenov; Alexander E. Souvorov; Robert H. Svenson; Alexei G. Nazarov; Yuri E. Sizov; George P. Tatsis
The microwave tomographic approach is proposed to detect and image breast cancers. Taking into account the big difference in dielectrical properties between normal and malignant tissues, the authors have proposed using the microwave tomographic method to image a human breast. Because of the anatomical features of the objects, this case has to be referred to the tomography with a limited angle of observation. As a result of computer experiments the authors have established that multiview cylindrical configurations are able to provide microwave tomograms of the breast with a small size tumor inside. Using the gradient method, the authors have developed a computer code to create images of the three-dimensional objects in dielectrical properties on microwave frequencies.
IEEE Transactions on Biomedical Engineering | 2002
Serguei Y. Semenov; Robert H. Svenson; Alexander E. Bulyshev; Alexander E. Souvorov; Alexei G. Nazarov; Yuri E. Sizov; Vitaly G. Posukh; Andrey Pavlovsky; Pavel N. Repin; Andrey N. Starostin; Boris A. Voinov; Michael Taran; George P. Tatsis; Vladimir Y. Baranov
The purpose of this study was to construct a microwave tomographic system capable of conducting experiments with whole scale biological objects and to demonstrate the feasibility of microwave tomography for imaging such objects using a canine model. Experiments were conducted using a three-dimensional (3-D) microwave tomographic system with working chamber dimensions of 120 cm in diameter and 135 cm in height. The operating frequency was 0.9 GHz. The object under study was located in the central area of the tomographic chamber filled with a salt solution. Experimentally measured attenuation of the electromagnetic field through the thorax was about -120 dB. To obtain images, we used various two-dimensional and 3-D reconstruction schemes. Images of the canine were obtained. In spite of imperfections, the images represent a significant milestone in the development of microwave tomography for whole body imaging and demonstrate its feasibility.
IEEE Transactions on Biomedical Engineering | 1999
Serguei Y. Semenov; Robert H. Svenson; Alexander E. Bulyshev; Alexander E. Souvorov; Alexei G. Nazarov; Yuri E. Sizov; Andrey Pavlovsky; Vladimir Y. Borisov; Boris A. Voinov; G. I. Simonova; Andrey N. Starostin; Vitaly G. Posukh; George P. Tatsis; Vladimir Y. Baranov
A method of image reconstruction in three-dimensional (3-D) microwave tomography in a weak dielectric contrast case has been developed. By utilizing only one component of the vector electromagnetic field this method allows successful reconstruction of images of 3-D mathematical phantoms, a prototype of the 3-D microwave tomographic system capable of imaging 3-D objects has been constructed. The system operates at a frequency of 2.36 GHz and utilizes a code-division technique. With dimensions of the cylindrical working chamber z=40 cm and d=60 cm, the system allows measurement of an attenuation up to 120 dB having signal-to-noise ratio about 30 dB. The direct problem solutions for different mathematical approaches were compared with an experimentally measured field distribution inside the working chamber. The tomographic system and the reconstruction method were tested in simple experimental imaging.
IEEE Transactions on Microwave Theory and Techniques | 2000
A.E. Souvorov; Alexander E. Bulyshev; Serguei Y. Semenov; Robert H. Svenson; George P. Tatsis
In this paper, we report a two-dimensional computer simulation of a microwave flat antenna array for breast cancer tomography. This new technology promises reduction of X-ray exposure and easier access to peripheral areas of the breast. Using our version of the Newton algorithm, we studied two simple mathematical objects and a more sophisticated two-dimensional model of the breast that takes into account dielectric properties of different human tissues and malignant tumors. Our calculations show that, operating at 2 GHz, this device may give very reasonable images of tissues located up to 3-4 cm beneath the surface.
IEEE Transactions on Microwave Theory and Techniques | 1998
A.E. Souvorov; Alexander E. Bulyshev; Serguei Y. Semenov; Robert H. Svenson; Alexei G. Nazarov; Yuri E. Sizov; George P. Tatsis
In this paper, a variant of the Newton method, which uses a fast solution of the direct problem and a dual mesh, is proposed. Computational and physical experiments with simple two-dimensional high-contrast phantoms are discussed, and a full-scaled image of a two-dimensional mathematical model of a human torso is obtained.
Inverse Problems | 2000
Alexander E. Bulyshev; A.E. Souvorov; Serguei Y. Semenov; Robert H. Svenson; Alexei G. Nazarov; Yuri E. Sizov; George P. Tatsis
The results of computer simulated experiments in three-dimensional microwave tomography in scalar approximation are presented. The gradient method is employed to solve three-dimensional high-contrast microwave tomographic problems. A computer model for full-scale three-dimensional imaging has been created. Three-dimensional tomographic images of mathematical models of the human torso were obtained. Significant differences between two-dimensional and three-dimensional cases are emphasized. Some illumination schemes which can be applied in the three-dimensional case are discussed. A dependence of image quality on the number of vertically placed transmitters has been demonstrated. The computer simulation showed that three-dimensional full-scale human torso dielectrical properties images can be produced with acceptable computational time.
Inverse Problems | 2004
Alexander E. Bulyshev; A.E. Souvorov; S Yu Semenov; Vitaly G. Posukh; Yuri E. Sizov
Microwave tomography is a new imaging method based on contrast in dielectric properties of materials. The mathematical theory of microwave tomography involves solving an inverse problem for Maxwells equations. In this paper a new method of solving this inverse problem is presented. Based on the known gradient approach the method has significant advantages that allow us to solve full scale 3D microwave tomographic problems using the vector equations. The results of computational experiments are presented and discussed. Using simulated and experimental data, 3D images of mathematical and physical phantoms are obtained. The results show the abilities of the method to reveal the internal structure of objects in the strong contrast case.
IEEE Transactions on Microwave Theory and Techniques | 2000
Serguei Y. Semenov; Robert H. Svenson; Alexander E. Bulyshev; Alexander E. Souvorov; Alexei G. Nazarov; Yuri E. Sizov; Vitaly G. Posukh; Andrey Pavlovsky; Pavel N. Repin; George P. Tatsis
An experimental study of spatial resolution of microwave tomography was performed. Our microwave tomographic system with operational frequencies of 0.9 and 2.36 GHz and with signal-to-noise ratio of 30 dB allowed us to achieve a spatial resolution between 7.3-9.5 mm and 6.3-7.8 mm at the former and latter frequencies, respectively. It was shown in experiments, with structurally complicated objects, that spatial resolutions of about the same distances can be expected in a practical application of microwave tomography to detect areas of myocardial ischemia and infarction.
IEEE Transactions on Microwave Theory and Techniques | 2000
Serguei Y. Semenov; Alexander E. Bulyshev; A.E. Souvorov; Alexei G. Nazarov; Yuri E. Sizov; Robert H. Svenson; Vitaly G. Posukh; Andrey Pavlovsky; Pavel N. Repin; George P. Tatsis
Microwave tomographic experiments have been performed on a three-dimensional (3-D) phantom and excised canine heart using a 3-D system operating at frequency of 2.4 GHz. A modified gradient reconstruction approach has been employed for the 3-D image reconstruction. To compare two-dimensional (2-D) and 3-D approaches, we also performed 2-D image reconstruction using an approach based on the Newton method. Experimental data acquired on experimental phantoms were analyzed using both 2-D and 3-D reconstruction approaches. High-quality images were reconstructed using the 3-D approach. The reconstruction procedure failed when the 2-D approach was applied to reconstruct images of the 3-D object. An image of the dielectric properties of the excised canine heart was obtained using a 3-D reconstruction approach. Images successfully revealed a complex internal structure of the heart, including both right-hand side and left-hand side ventricles.