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

reconstruction of temperature fields by
SMART_READER_LITE
LIVE PREVIEW

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


slide-1
SLIDE 1

Saratov State University

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

slide-2
SLIDE 2

Laser hyperthermia of tumors with nanoparticles in Oncology laser heating biological tissue termofotosensibilizator

Temperature 47-55 º C

slide-3
SLIDE 3

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

slide-4
SLIDE 4

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

slide-5
SLIDE 5

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

slide-6
SLIDE 6

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.

slide-7
SLIDE 7
  • 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

slide-8
SLIDE 8
slide-9
SLIDE 9
slide-10
SLIDE 10
slide-11
SLIDE 11

The density distribution of absorbed photons Calculation

  • f the

thermal field

slide-12
SLIDE 12

training a neural network

The parameters of the laser beam, the surface temperature The temperature in the interior of the sample

in

  • ut
slide-13
SLIDE 13

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

slide-14
SLIDE 14

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

slide-15
SLIDE 15

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

slide-16
SLIDE 16

polishing fiber end

slide-17
SLIDE 17

Experiments on laser heating of model objects with nanoparticles with plasmon resonance at 810nm surface thermogram

Measuring the surface temperature of the infrared imager

slide-18
SLIDE 18

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

slide-19
SLIDE 19

Experiments on animals

Intravenous administration

  • f aqueous nanoparticle

into mouse

slide-20
SLIDE 20

Experimental studies in laboratory animals Infrared thermographic control of laser heating

slide-21
SLIDE 21

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

slide-22
SLIDE 22