Saratov State University
RECONSTRUCTION OF TEMPERATURE FIELDS BY USING 2D THERMAL IMAGING - - PowerPoint PPT Presentation
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
Laser hyperthermia of tumors with nanoparticles in Oncology laser heating biological tissue termofotosensibilizator
Temperature 47-55 º C
The current alternative - non-invasive temperature measurement technique using magnetic resonance imaging
Стоимость МРТ томографа от 40 до 125 млн.руб Стоимость тепловизора 0.4 млн руб
Thermal imagers use infrared
- technology. The thermal
imager directly measures only the surface temperature The basic idea - the creation of a program to determine the temperature at a depth of tissue from the measured surface temperature
IRISYS 4000
Analysis of optical and thermal parameters of biological tissue Modeling the diffusion of laser radiation Calculation of thermal fields Formation of a database for neural network learning training a neural network recovery of the temperature profile in depth measurement of the thermograms Determination of beam parameters
Q T k t T C p
heat equation
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.
- 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
sequence of actions to solve the problem in COMSOL Multiphysics package
The density distribution of absorbed photons Calculation
- f the
thermal field
training a neural network
The parameters of the laser beam, the surface temperature The temperature in the interior of the sample
in
- ut
The result is restoration of the neural network temperature profile over the depth of the layer
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
Measurement of power density over the cross section of the laser spot Power Meter
polishing fiber end
Experiments on laser heating of model objects with nanoparticles with plasmon resonance at 810nm surface thermogram
Measuring the surface temperature of the infrared imager
Thermograms at different degrees of dilution of the nanoparticles and the duration of heating
Experiments on animals
Intravenous administration
- f aqueous nanoparticle