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RECONSTRUCTION OF TEMPERATURE FIELDS BY USING 2D THERMAL IMAGING - PowerPoint PPT Presentation

Saratov State University DEVELOPMENT OF A TECHNIQUE OF 3D RECONSTRUCTION OF TEMPERATURE FIELDS BY USING 2D THERMAL IMAGING MEASUREMENTS Tatiana L. Travina Laser hyperthermia of tumors with nanoparticles in Oncology laser heating Temperature


  1. Saratov State University DEVELOPMENT OF A TECHNIQUE OF 3D RECONSTRUCTION OF TEMPERATURE FIELDS BY USING 2D THERMAL IMAGING MEASUREMENTS Tatiana L. Travina

  2. Laser hyperthermia of tumors with nanoparticles in Oncology laser heating Temperature 47- 55 º C biological tissue termofotosensibilizator

  3. The current alternative - non-invasive temperature measurement technique using magnetic resonance imaging Стоимость МРТ томографа Стоимость тепловизора от 40 до 125 млн.руб 0.4 млн руб

  4. Thermal imagers use infrared technology. The thermal imager directly measures only the surface temperature IRISYS 4000 The basic idea - the creation of a program to determine the temperature at a depth of tissue from the measured surface temperature

  5. Analysis of optical and thermal parameters of biological tissue Modeling the diffusion of laser measurement of radiation the thermograms Determination of beam Calculation of thermal parameters fields Formation of a database for neural network learning training a neural network recovery of the temperature profile in depth

  6. heat equation T C p k T Q t Elliott A. M.; Stafford R. J.; Schwartz J.; Wang, J.; Shetty A. M.; Bourgoyne C.; O’Neal P.; Hazle J. D. Laser-Induced Thermal Response and Characterization of Nanoparticles for Cancer Treatment Using Magnetic Resonance Thermal Imaging. //Med. Phys. 2007, 34, 3102 – 3108 .

  7. sequence of actions to solve the problem in COMSOL Multiphysics package 1. Select the dimensions of the model, we determine the physical partition in the Model Navigator 2. Determine the work area and set the geometry of the 3. Set the source data, depending on the variables of position and time 4. Indicate the thermophysical properties and initial conditions 5. Specify boundary conditions 6. Set parameters and construct a grid 7. Define the parameters of the device and launch a decisive consideration. 8. Set up the display mode 9. obtain results

  8. The density distribution of absorbed photons Calculation of the thermal field

  9. training a neural network in out The temperature in the interior of the sample The parameters of the laser beam, the surface temperature

  10. The result is restoration of the neural network temperature profile over the depth of the layer

  11. Measurement of laser beam divergence IR semiconductor laser Wavelength 810nm Digital camera captures the invisible laser radiation. From the photographs we define the spot size at different distances from the fiber tip

  12. Measurement of power density over the cross section of the laser spot Power Meter

  13. polishing fiber end

  14. Measuring the surface temperature of the infrared imager Experiments on laser heating of model objects with nanoparticles with plasmon resonance at 810nm surface thermogram

  15. Thermograms at different degrees of dilution of the nanoparticles and the duration of heating

  16. Experiments on animals Intravenous administration of aqueous nanoparticle into mouse

  17. Experimental studies in laboratory animals Infrared thermographic control of laser heating

  18. Experiments on local hyperthermia in laboratory animals in RONC Academy of Sciences (Moscow)

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