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Imaging PET Course Layout Class + ContentDateClass Physical Principles of PET23.2.2005I Physical principles of MRI2.3.2005II Imaging applications9.3.2005III.

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Presentation on theme: "Imaging PET Course Layout Class + ContentDateClass Physical Principles of PET23.2.2005I Physical principles of MRI2.3.2005II Imaging applications9.3.2005III."— Presentation transcript:

1

2 Imaging PET

3 Course Layout Class + ContentDateClass Physical Principles of PET23.2.2005I Physical principles of MRI2.3.2005II Imaging applications9.3.2005III Image Reconstruction PET and MRI16.3.2005IV Automatic Image Alignment23.3.2005V PCA30.3.2005VI No Class6.4.2005VII GLM13.4.2005VIII GLM relation to classical tests (Anova, T-test..) 4.5.2005IX Covariates18.5.2005X Gaussian fields Theory25.5.2005XI Specific experiment design and analysis1.6.2005XII Specific experiment design and analysis8.6.2005XIII Correction for multiple measurements15.6.2005XIV

4 Talk Layout Repetition of PET princinples Repetition of PET princinples PET image reconstruction -FBP PET image reconstruction -FBP Physics of NMR Physics of NMR Application to imaging of NMR -MRI Application to imaging of NMR -MRI

5 PET

6 Positron emission

7 PET

8 Coincidence Events 1 1. Detected True Coincidence Event 2 2. True Event Lost to Sensitivity or Deadtime 3 3. True Event Lost to Photon Attenuation 4 4. Scattered Coincidence Event 5a 5b 5a,b. Random Coincidence Event

9 Attenuation Correction

10 Filtered Back Projection

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13 Filtered backprojection Filter the measured projection data at different projection angles with a special function. Backproject the filtered projection data to form the reconstructed image. Filtering can be implemented in 2 ways, in the spatial domain, the filter operation is equivalent to to convolving the measured projection data using a special convolving function h(t) More efficient multiplication will be in the spatial frequency domain. FFT the measured projection data into the frequency domain: p(,  )=FT {p(t,  ) Multiply the the fourier transform projections with the special function. Inverse Fourier transform the product p ’ (,  ).

14 2D Vs. 3D

15 Randoms

16 Scatters

17 Principles of MRI

18 Felix Bloch

19 Atoms

20 Spins

21 Precession

22 RF pulse

23 T1 and T2

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26 Effect of tissue T1 and T2 CONSTANTS T2 Constants at 1.5 T Controlled by TE T1 Constants at 1.5 T Controlled by TR 85Fat 45860Muscle 90780White matter 100920Gray matter 14003000CSF

27 Slice selection

28 K space

29 K Space

30 NMR


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