Development of a miniature microwave radiothermograph for monitoring the internal brain temperature

Sedankin, M. K.; Chupina, Daria; Vesnin, Sergey; Nelin, Igor; Skuratov, Victor

doi:10.15587/1729-4061.2018.134130

Cited by 8 publications

(9 citation statements)

References 16 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%

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%

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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“…A miniature single-channel radiometer with a printed antenna for reception of microwave radiation from brain in the 3.6 GHz band with a frequency band of MHz was presented in [34]. The instrument uses a null balance radiometer with a negative feedback loop.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Research of a microwave radiometer for monitoring of internal temperature of biological tissues

Vesnin

Sedankin

Leushin

et al. 2019

EEJET

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“…1), has been developed for early diagnosis of cancer and other diseases [8,9,28]. Technical details about different types of sensors and antennae have been reported [38][39][40][41][42][43][44][45][46].…”

Section: Introductionmentioning

confidence: 99%

Passive microwave radiometry in biomedical studies

Goryanin

Karbainov²,

Шевелев

et al. 2020

Drug Discovery Today

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Passive microwave radiometry (MWR) measures natural emissions in the range 1-10 GHz from proteins, cells, organs and the whole human body. The intensity of intrinsic emission is determined by biochemical and biophysical processes. The nature of this process is still not very well known. Infrared thermography (IRT) can detect emission several microns deep (skin temperature), whereas MWR allows detection of thermal abnormalities down to several centimeters (internal or deep temperature). MWR is noninvasive and inexpensive. It requires neither fluorescent nor radioactive labels, nor ionizing or other radiation. MWR can be used in early drug discovery as well as preclinical and clinical studies. Reviews POST SCREEN

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Development of a miniature microwave radiothermograph for monitoring the internal brain temperature

Abstract: PhD, Researcher Department of collection, processing and analysis of test results of robotic complexes, Main research and testing robotics centre of the Ministry of defence of the Russian Federation (MRTRC)

Cited by 8 publications

References 16 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

Research of a microwave radiometer for monitoring of internal temperature of biological tissues

Passive microwave radiometry in biomedical studies

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