The IR-thermal imaging method for evaluation of the status of myocardial coronary vessels under the condition of artificial blood circulation

Shlykov, Vladyslav; Kotovskyi, Vitalii; Višniakov, Nikolaj; Šešok, Andžela

doi:10.3233/thc-182504

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…The advantage of this technique is the detection of small blood vessels in the finger arthritis joint capsules, which may be hyperactive in the disease. There are strengths and limitations to each modality [17,18]; hence thermography may be a suitable sensor for joint inflammation detection in human and animals [19,20,21] Static and dynamic protocols are the two most used. The first protocol measures steady-state conditions.…”

Section: Introductionmentioning

confidence: 99%

Infrared Thermography Sensor for Disease Activity Detection in Rheumatoid Arthritis Patients

Pauk

Wasilewska

Ihnatouski

2019

Sensors

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A recent review of thermography studies in rheumatoid arthritis shows limited data about disease activity and mostly focuses on differences between the thermography of rheumatoid arthritis patients and typical subjects. A retrospective study compared patients with high disease activity (n = 50), moderate disease activity (n = 16), and healthy participants (n = 42), taking into account demographic, clinical, laboratory, and thermography parameters. We applied an infrared thermography sensor and a fingers examination protocol. Outcomes included the mean temperature of five fingers of a hand: In static, post-cooling, post-rewarming, the total change in mean temperature of fingers due to cold provocation, the total change in mean temperature of fingers due to rewarming, the area under the cooling curve, the area under the heating curve, the difference between the area under the rewarming and the cooling curve, and temperature intensity distribution maps. For patients with high disease activity, a lower area under the heating curve and a lower difference between the area under the rewarming curve and the cooling curve were observed, as well as a smaller total change in mean temperature due to rewarming, compared to patients with moderate disease activity (p < 0.05). Our study findings could be helpful in patients with an equivocal clinical examination.

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Section: Introductionmentioning

confidence: 99%

Infrared Thermography Sensor for Disease Activity Detection in Rheumatoid Arthritis Patients

Pauk

Wasilewska

Ihnatouski

2019

Sensors

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“…The contour extraction method was used to identify cancerous areas that, after applying the model to eliminate mixed noise, had an increased contrast of volumetric heterogeneous formations in the region of the heart [27]. This method was developed by the authors when analyzing thermal images to assess the condition of the coronary vessels of the myocardium under cardiopulmonary bypass.…”

Section: Resultsmentioning

confidence: 99%

Model for Elimination of Mixed Noise from MRI Heart Images

et al. 2020

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A method for the preliminary processing of MRI images of the heart that allows for the elimination of fluctuation and impulse noise from useful signals is proposed. These types of noise are due to the regular geometric structure of the photoelectric elements of the MRI scanner matrix and the structure of the signal transmission channel. The aim of this work is to develop a comprehensive mathematical model for eliminating noise in the signal of an MRI scanner. In this work, mathematical models of linear and median filtering of impulse noise, fluctuation, and geometric noise are implemented. The mathematical models consist of the combined use of linear and median filters for recording MRI images of the heart. In the experiments, real MRI images of the heart from six patients with different diseases were used after noise was added to them. We were able to eliminate the impulse noise, geometric noise, and fluctuation noise in the MRI images by applying our filtering techniques. The filtering technique not only removed the noise, but also increased the contrast of the cancerous volumetric heterogeneous formations in the heart region.

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The Modeling of the Temperature Changes and Distribution in the Myocardium

Shlykov

Kotovskyi

Višniakov

et al. 2020

J. Mech. Med. Biol.

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This paper investigates the opportunities of applying the methods of noninvasive contactless diagnostics and numerical modeling for assessing the temperature gradient on the surface of the myocardium. These changes are observed on the surface of myocardium during hypo and hyperthermal processes, precisely during cardiopulmonary bypass (CPB). The 3D model of heat exchange in the myocardium is developed in the system MSC Sinda. Results of the performed measurements in the heart show that a noninvasive monitoring of the heart temperature using a thermographic camera in (CPB) conditions enables reliable measuring of the temperature of the myocardium during hypo and hyperthermal processes. The gradient of temperature on the surface of the heart may be usable as a diagnostic criterion for establishing ischemic zones on the surface of the myocardium.

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The IR-thermal imaging method for evaluation of the status of myocardial coronary vessels under the condition of artificial blood circulation

Abstract: The method makes it possible to monitor the heart temperature at hypothermia and hyperthermia; additionally, it makes it possible to evaluate the efficiency of the coronary artery bypass graft surgery performed during open heart operation.

Cited by 4 publications

References 3 publications

Infrared Thermography Sensor for Disease Activity Detection in Rheumatoid Arthritis Patients

Infrared Thermography Sensor for Disease Activity Detection in Rheumatoid Arthritis Patients

Model for Elimination of Mixed Noise from MRI Heart Images

The Modeling of the Temperature Changes and Distribution in the Myocardium

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