Parameters of the thermal patterns of the exposed cortex from the results of IR thermal mapping when tumors are being removed from the human brain

Volovik, M. G.; Макаренко, А. В.

doi:10.1364/jot.82.000467

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…As we have demonstrated [3], the isostatic distribution of the cortex temperature is not informative for the delineation of the pathology area. This approach of using IRthermal mapping in diagnosis often yields negative research results, whereas the cold test, which disrupts the compensatory autoregulation mechanisms temporarily and reversibly, allows to make a successful functional and topical diagnosis [3]. As a rule, this technique involves a visual assessment of IR-thermal maps by a trained specialist who determines the presence of a pathology area and its most probable boundaries.…”

Section: Introductionmentioning

confidence: 82%

Implementation of deep learning algorithm for automatic detection of brain tumors using intraoperative IR-thermal mapping data

Макаренко¹,

Volovik²

2015

Preprint

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The efficiency of deep machine learning for automatic delineation of tumor areas has been demonstrated for intraoperative neuronavigation using active IRmapping with the use of the cold test. The proposed approach employs a matrix IR-imager to remotely register the space-time distribution of surface temperature pattern, which is determined by the dynamics of local cerebral blood flow. The advantages of this technique are non-invasiveness, zero risks for the health of patients and medical staff, low implementation and operational costs, ease and speed of use. Traditional IR-diagnostic technique has a crucial limitation -it involves a diagnostician who determines the boundaries of tumor areas, which gives rise to considerable uncertainty, which can lead to diagnosis errors that are difficult to control. The current study demonstrates that implementing deep learning algorithms allows to eliminate the explained drawback.

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Section: Introductionmentioning

confidence: 82%

Implementation of deep learning algorithm for automatic detection of brain tumors using intraoperative IR-thermal mapping data

Макаренко¹,

Volovik²

2015

Preprint

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“…The obtained results have laid an experimental foundation for developing a model of IR brain mapping to perform computer-aided analysis of IR thermal maps that can identify and classify pathologies and delineate its boundaries [11,12]. 10.21611/qirt.2018.p12 10.21611/qirt.2018.p12…”

Section: 21611/qirt2018p12mentioning

confidence: 95%

Dynamic Infrared Mapping of Exposed Human Cortex During Removal of Brain Tumors

Volovik¹,

Polevaya²,

Sheludyakov³

et al. 2018

Proceedings of the 2018 International Conference on Quantitative InfraRed Thermography

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We performed thermal imaging studies of 229 brain tumor patients with various histology during neurosurgery. We formulated principles of dynamic infrared mapping of exposed cortex and demonstrated that this approach reflects the spatial distribution of cerebral blood flow determined by autoregulation activity. This is the first detailed investigation of spatial temperature dynamics in the peritumoral area and the first assessment methodology for the autoregulation reserve of the peritumoral pial-capillary bed. A specificity of the spatiotemporal dynamics of the cortex thermal pattern in response to the developed effective cold test, depending on the degree of brain tumor malignancy grade, is proved.

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Method of differentiated analysis of IR thermal maps of the exposed cerebral cortex when neurosurgical operations are being performed

Макаренко

Volovik

2015

J. Opt. Technol.

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Parameters of the thermal patterns of the exposed cortex from the results of IR thermal mapping when tumors are being removed from the human brain

Cited by 3 publications

References 4 publications

Implementation of deep learning algorithm for automatic detection of brain tumors using intraoperative IR-thermal mapping data

Implementation of deep learning algorithm for automatic detection of brain tumors using intraoperative IR-thermal mapping data

Dynamic Infrared Mapping of Exposed Human Cortex During Removal of Brain Tumors

Method of differentiated analysis of IR thermal maps of the exposed cerebral cortex when neurosurgical operations are being performed

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