EPR imaging characterization of natural and synthetic materials - - PowerPoint PPT Presentation

epr imaging characterization of natural and synthetic
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EPR imaging characterization of natural and synthetic materials - - PowerPoint PPT Presentation

EPR imaging characterization of natural and synthetic materials Timophey V. Popov Joint Advanced Students School St.-Petersburg - 2006 Contents: Introduction MR theory Mathematical problems of computer- aided tomography EPR


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EPR imaging characterization of natural and synthetic materials

Timophey V. Popov Joint Advanced Students School St.-Petersburg - 2006

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Contents:

  • Introduction
  • MR theory
  • Mathematical problems of computer-

aided tomography

  • EPR imaging
  • Conclusion

Joint Advanced Students School 2 of 26 St.-Petersburg, 02 Mar - 12 Apr 2006

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Tomography Tomography (gr. (gr. tomos tomos -

  • layer,

layer, grapho grapho -

  • write)

write)

Simple methods:

  • anatomic
  • linear X-ray

Computer methods:

  • computed (CT, SCT)
  • magnetic-resonance (MRT)
  • positron-emission (PET)
  • ultrasonic (US)
  • laser
  • electron-impedance

Joint Advanced Students School St.-Petersburg, 02 Mar - 12 Apr 2006

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Introduction Introduction

Questions to be answered during report:

  • What a magnetic-resonance phenomenon

is?

  • How can we obtain useful information

from spectra?

  • Which
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Intro – subject review

  • What is the aim of tomography actually

for living science?

  • T is an individual frame of knowledge

with application in medicine, nanotechnology, chemistry and so on

  • EPR imaging is the only method of

inspection electron density distribution in a sample

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Magnetic properties of atom Magnetic properties of atom

Nucleus: Electron:

I p r h r = I g I

N

r r h r = ⋅ = γ μ

– has a spin momentum I I = 0; 1/2; 1; 3/2… – has a orbital momentum L L = 0; 1; 2; 3… – has a spin momentum S S = 1/2

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Magnetic properties of atom Magnetic properties of atom

H z r ↑↑

H H H E

z

μ ϑ μ μ − = − = − = cos ) , ( r r

μ r I r

z

μ m I z = ϑ

Interaction with external field: Fixed momentum orientations Discreet energy levels

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Energy levels of nucleus Energy levels of nucleus

2 1 =

I

m 2 1 − =

I

m

z N N z

HI g HI E β γ − = ⋅ − = h

H Energy H0

H g E

N Nβ

ω = = Δ h

Interaction energy:

Mc eh

N

2 = β

nuclear magneton

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Energy levels of electron Energy levels of electron

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MR theory – classification

  • NMR
  • Nuclei with non-zero

nuclear spin (H)

  • Ask help
  • EPR
  • Substance with odd

number of e (1H)

  • Substance with

unpaired es on valence shell without chem link (VO)

  • Free radicals (mithil-

r)

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MR theory – absorption line

  • Which information can we obtain from

EPR spectra?

  • FS & HFS & SHFS
  • g-factor
  • Line width & line shape
  • Integral intensity
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MR theory – CW-method

  • Block-scheme of spectrometer
  • Sweeping magnetic field and

synchronous detecting of signal

  • First derivative form of absorption line
  • Aims of sweeping field
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MR theory – my examples

  • Ask S.M. about good examples…
  • in progress
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Radon transformation Radon transformation

  • 1. The methods of projection data acquisition;
  • 2. Means of tomographic images reconstruction:

– Back-projection algorithm; – De-convolution algorithm;

  • 3. Examples
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Radon transformation Radon transformation

sin cos = − + s y x ϕ ϕ

∞ ∞ −

+ − = ' ) cos ' sin , sin ' cos ( ) , ( dy y s y s f s R ϕ ϕ ϕ ϕ ϕ ⎩ ⎨ ⎧ + = − = ϕ ϕ ϕ ϕ cos ' sin ' sin ' cos ' y y y y x x

' = −s x

− − −

+ − =

2 2 2 2

' ) cos ' sin , sin ' cos ( ) , (

s a s a

dy y s y s f s R ϕ ϕ ϕ ϕ ϕ

Radon image: Equation of line l in x-y-frame: Rotation of axes: Equation of line l in new coordinates:

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Radon transformation Radon transformation

⎩ ⎨ ⎧ ⎭ ⎬ ⎫ − + − =∑

= 2 2 2 1

2 ) sin cos ( exp 2 ) , ( b s y x b s R

i i i

ϕ ϕ π ϕ

=

⎩ ⎨ ⎧ ⎭ ⎬ ⎫ − + − − =

2 1 2 2 2

2 ) ( ) ( exp ) , (

i i i

b y y x x y x f

2 Gauss impulses: Radon image of f(x,y):

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Back projection algorithm Back projection algorithm

) , sin cos ( ) , ( ϕ ϕ ϕ

ϕ

y x R y x R + =

+ =

π

ϕ ϕ ϕ ϕ ) , sin cos ( ) , ( ˆ d y x R y x fon

Summary image: Back-projected image:

  • 1. Fixing the angel ϕ in R(s, ϕ)
  • 2. Stretch 1D function R(s, ϕ) in

x-y-plane

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Back projection algorithm Back projection algorithm

Main disadvantage:

1 2 3

I mage contrast is too low :(

  • 1. Original phantom
  • 2. Radon image (180 projection)
  • 3. Back-projected phantom
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Deconvolution Deconvolution algorithm algorithm

+ =

π

ϕ ϕ ϕ ϕ ) , sin cos ( ~ ) , ( d y x R y x f

− = = +

a a

ds s s R s h s R y x R

1 1 1

) , ( ) ( ) , ( ~ ) , sin cos ( ~ ϕ ϕ ϕ ϕ ϕ

∞ ∞ −

= ω ω ω π d s s h ) cos( 2 1 ) (

1 1

1 2 4 3 5

  • original function
  • convolution product
  • Fourier image of |ω|
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EPR Imaging – experiment

  • Summing up 2 theories
  • Adding MF gradient
  • Spectral line broadening, frequency

coding

  • Radon transform application
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EPR Imaging - properties

  • EPR imaging resolution (compare with

MRI)

  • Practical limitations
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EPR Imaging – examples

  • Radicals
  • Applications to mineral samples

(radiation defects)

  • Skin experiments
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Conclusion

  • Development difficulty
  • Limitations of using in vivo
  • Further perspectives and so on