EPR imaging characterization of natural and synthetic materials - - PowerPoint PPT Presentation
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
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
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
Introduction Introduction
Questions to be answered during report:
- What a magnetic-resonance phenomenon
is?
- How can we obtain useful information
from spectra?
- Which
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
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
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
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
Energy levels of electron Energy levels of electron
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)
MR theory – absorption line
- Which information can we obtain from
EPR spectra?
- FS & HFS & SHFS
- g-factor
- Line width & line shape
- Integral intensity
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
MR theory – my examples
- Ask S.M. about good examples…
- in progress
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
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:
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):
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
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
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|
EPR Imaging – experiment
- Summing up 2 theories
- Adding MF gradient
- Spectral line broadening, frequency
coding
- Radon transform application
EPR Imaging - properties
- EPR imaging resolution (compare with
MRI)
- Practical limitations
EPR Imaging – examples
- Radicals
- Applications to mineral samples
(radiation defects)
- Skin experiments
Conclusion
- Development difficulty
- Limitations of using in vivo
- Further perspectives and so on