Possibilities of increasing the interference immunity of radiothermograph applicator antennas for brain diagnostics

Leushin, V. Yu.; Гудков, А. Г.; Porokhov, I. O.; Vesnina, Sergey G.; Sedankina, Mikhail K.; Sidorova, Igor A.; Solov'ev, Yuriy; Agasieva, S. V.; Chizhikov, S. V.

doi:10.1016/j.sna.2022.113439

Cited by 11 publications

(6 citation statements)

References 33 publications

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“…See images of device in Figure 1) are basis of medical diagnostics of both diseases of breast [12,13] and other organs [4,8,56]. Our measurement data for temperature distributions for breast were obtained with this device, that provides an accuracy of about ±0.2 • C [32].…”

Section: Mwr Methods For Detecting Breast Cancermentioning

confidence: 99%

“…Separately, we note that the development of mathematical and computer models of the temperature fields dynamics in various organs/tissues has acquired particular importance in the last decade. This is due, among other things, to the development of new generations of radiothermometers [56].…”

Section: Calculation Of Brightness Temperature In Biological Tissuesmentioning

confidence: 99%

“…Microwave thermometry is not limited to clinical practice and is used in pharmacology and physiological research to create thermal maps of muscles and internal organs in sports and health monitoring [55]. The MWR method has been successfully applied to the following organs, tissues, and diseases: 1-brain [7,25,43,56]; 2-breast [10,12,13,16]; 3-carotid arteries [49]; 4-venous diseases of the lower extremities [8]; 5-coronavirus infection (COVID-19) [4]; 6-arthritis of the large joints (elbow (6a), knee (6b), ankle (6c) [46,57], rheumatoid arthritic knee joints [11], sacroiliac joints [45]; 7-spine arthritis [58]; 8-acute inflammatory diseases of the prostate [42]; 9-kidney disease [42,59]; 10-cardiovascular diseases [50]; 11-bladder [59]; 12-pathology of the female reproductive system [54]; 13-diabetic foot ulceration pathology [60]; 14-thyroid [61].…”

Section: Diagnostics Based On Microwave Radiometrymentioning

confidence: 99%

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Improving the Efficiency of Oncological Diagnosis of the Breast Based on the Combined Use of Simulation Modeling and Artificial Intelligence Algorithms

Хоперсков

Polyakov

2022

Algorithms

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This work includes a brief overview of the applications of the powerful and easy-to-perform method of microwave radiometry (MWR) for the diagnosis of various diseases. The main goal of this paper is to develop a method for diagnosing breast oncology based on machine learning algorithms using thermometric data, both real medical measurements and simulation results of MWR examinations. The dataset includes distributions of deep and skin temperatures calculated in numerical models of the dynamics of thermal and radiation fields inside biological tissue. The constructed combined dataset allows us to explore the limits of applicability of the MWR method for detecting weak tumors. We use convolutional neural networks and classic machine learning algorithms (k-nearest neighbors, naive Bayes classifier, support vector machine) to classify data. The construction of Kohonen self-organizing maps to explore the structure of our combined dataset demonstrated differences between the temperatures of patients with positive and negative diagnoses. Our analysis shows that the MWR can detect tumors with a radius of up to 0.5 cm if they are at the stage of rapid growth, when the tumor volume doubling occurs in approximately 100 days or less. The use of convolutional neural networks for MWR provides both high sensitivity (sens=0.86) and specificity (spec=0.82), which is an advantage over other methods for diagnosing breast cancer. A new modified scheme for medical measurements of IR temperature and brightness temperature is proposed for a larger number of points in the breast compared to the classical scheme. This approach can increase the effectiveness and sensitivity of diagnostics by several percent.

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Section: Mwr Methods For Detecting Breast Cancermentioning

confidence: 99%

Section: Calculation Of Brightness Temperature In Biological Tissuesmentioning

confidence: 99%

Section: Diagnostics Based On Microwave Radiometrymentioning

confidence: 99%

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Improving the Efficiency of Oncological Diagnosis of the Breast Based on the Combined Use of Simulation Modeling and Artificial Intelligence Algorithms

Хоперсков

Polyakov

2022

Algorithms

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“…Leushin, 3 S. V. Agasieva, 4 A. G. Gudkov, 5 S. G. Vesnin, 3 I. O. Porokhov, 3 E. A. Gudkov, 1 A. V. Osipova, 2 and A. Yu. Antonenkova 4 The results of an analytical review of various antennas used in medicine are presented. Issues of modern microwave radiothermometry related to the development of new antennas are discussed, as well as possible ways to solve them.…”

Section: Medical Antennas For Microwave Radiothermometry Of Biologica...mentioning

confidence: 99%

“…Several types of antennas are currently known for use in medicine for MR of BO: printed [2][3][4], waveguide [5,6], vibrator or frame [7], as well as intracavity antennas of various types [8]. Waveguide antennas for MR consist of a segment of a waveguide lled with a dielectric.…”

Section: Medical Antennas For Microwave Radiothermometry Of Biologica...mentioning

confidence: 99%

Medical Antennas for Microwave Radiothermometry of Biological Objects

et al. 2023

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The results of an analytical review of various antennas used in medicine are presented. Issues of modern microwave radiothermometry related to the development of new antennas are discussed, as well as possible ways to solve them. The tasks of further research aimed at creating new designs for conformal antennas and antenna arrays providing a significant expansion of the functionality and improvements in the characteristics of medical radiothermographs are formulated. The study was supported by the Russian Science Foundation (Grant No. 22-19-00113), https://rscf.ru/project/22-19-00113/ .

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Principles of Construction and Approaches to Further Improvements in Multichannel Multifrequency Radiothermographs

Leushin

Гудков²,

Сидоров³

et al. 2023

Biomed Eng

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Possibilities of increasing the interference immunity of radiothermograph applicator antennas for brain diagnostics

Cited by 11 publications

References 33 publications

Improving the Efficiency of Oncological Diagnosis of the Breast Based on the Combined Use of Simulation Modeling and Artificial Intelligence Algorithms

Improving the Efficiency of Oncological Diagnosis of the Breast Based on the Combined Use of Simulation Modeling and Artificial Intelligence Algorithms

Medical Antennas for Microwave Radiothermometry of Biological Objects

Principles of Construction and Approaches to Further Improvements in Multichannel Multifrequency Radiothermographs

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