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

Макаренко, А. В.; Volovik, M. G.

doi:10.1364/jot.82.000459

Cited by 4 publications

(5 citation statements)

References 15 publications

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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: 93%

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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Section: 21611/qirt2018p12mentioning

confidence: 93%

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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“…uniform irrigation of dura mater and brain cortex in the trephine opening with NaCl 0.9% solution at 20-22 for 30 sec (RU patent 2269287, 2006). The test perturbs the thermal regulation system of the brain to cause a perceptible variation in the dynamics of temperature pattern recovery within the tumor projection on the cortex surface and outside it (in the relatively intact cortex areas) [1].…”

Section: Active Ir-thermal Mapping Techniquementioning

confidence: 99%

“…A cyclogram of IR-monitoring in relation to major procedures is shown in Fig. 1 (for more detail see [1]). The readings are taken with a Thermo Tracer TH-9100 (NEC, Japan) IR-imager (Spectral Range: from 8 to 14 um; sensitivity: 0.025-0.03 2% of reading; IR-Image Resolution 320 (H) x 240 (V) pixel).…”

Section: Active Ir-thermal Mapping Techniquementioning

confidence: 99%

“…Pixel total amounted to 5 452 800: NWA -2 781 687; NA BC -288 714; HA BC -419 110; NA DM -1 162 225; HA DM -801 064. The procedure of raw data acquisition and the technique of IR-frame mapping for compiling train and test subsets are described in detail in [1].…”

Section: Automatic Detection Of Brain Tumorsmentioning

confidence: 99%

“…An alternative non-invasive intraoperative neuronavigation technique is active IRthermal mapping with the use of the cold probe [1]. This approach employs a matrix IR-imager to remotely register the space-time distribution of surface temperature pattern, which is directly correlated with the dynamics of local cerebral blood flow.…”

Section: Introductionmentioning

confidence: 99%

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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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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

Макаренко

2015

J. Opt. Technol.

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

Cited by 4 publications

References 15 publications

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

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

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

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

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