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Computed Tomography Principles

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Presentation on theme: "Computed Tomography Principles"— Presentation transcript:

1 Computed Tomography Principles
Ge Wang, Ph.D. Department of Radiology University of Iowa Iowa City, Iowa 52242, USA

2 Learning Objectives CT terms Data acquisition
Basic elements of CT scanner Scanning modes Image reconstruction Spiral/helical CT Image resolution and artifacts Interaction among imaging parameters Quality assurance Radiation exposure

3 A Little Bit History Nobel prizes Roentgen (1901): Discovery of X-rays Hounsfield & Cormack (1979): Computed tomography

4 Computed Tomography Principles
1. Projection measurement 2. Scanning modes 3. Scanner systems 4. Image reconstruction

5 X-ray Interactions - Photoelectric Effect
(From Aracor) Photoelectric effect results in total absorption of the X-ray photon and the emission of a bound electron

6 X-ray Interactions - Compton Scatter
(From Aracor) Compton Scatter results in a free electron & a scattered (less energetic) photon

7 Source and Detectors Source - Rotating anode disk - Small focal spot down to 0.6 mm - Polychromatic beam Detectors - Xenon (50-60%) - Scintillation (>90%) (From Siemens)

8 Exponential Attenuation of X-ray
Ni No m Ni: input intensity of X-ray No: output intensity of X-ray m: linear X-ray attenuation x Ni No    x Attenuated more X-rays

9 Ray-Sum of X-ray Attenuation
Ni No k x Ray-sum Line integral

10 Projection & Sinogram  y P(t) t p  x f(x,y) t X-rays Sinogram
Projection: All ray-sums in a direction Sinogram: All projections y P(t) t p x f(x,y) t X-rays Sinogram

11 Completeness Condition
There exists at least a source on any line intersecting a cross-section

12 Computed Tomography Principles
1. Projection measurement 2. Scanning modes 3. Scanner systems 4. Image reconstruction

13 First Generation One detector Translation-rotation Parallel-beam

14 Second Generation Multiple detectors Translation-rotation
Small fan-beam

15 Third Generation Multiple detectors Translation-rotation
Large fan-beam

16 Fourth Generation Detector ring Source-rotation Large fan-beam

17 Third & Fourth Generations
(From Picker) (From Siemens)

18 Spiral/Helical Scanning
Simultaneous Source rotation Table translation Data acquisition

19 Cone-Beam Geometry

20 Scanning modes First generation One detector, translation-rotation
Parallel-beam Second generation Multiple detectors, translation-rotation Small fan-beam Third generation Multiple detectors, rotation-rotation Large fan-beam

21 Scanning modes Fourth generation Detector ring, source-rotation
Large fan-beam Spiral/Helical scanning, cone-beam geometry

22 Computed Tomography Principles
1. Projection measurement 2. Scanning modes 3. Scanner systems 4. Image reconstruction

23 Spiral CT Scanner Network Gantry Source Computer Parallel processor
Display Control console Table Recording Detectors Data acquisition system Storage units: Tapes, disks

24 Data Acquisition System (DAS)
Pre-Collimator Post-Collimator Scattering Source Detector Filter Patient

25 Data Acquisition System (DAS)
X-ray Tube Source Filter Detectors CT Gantry (From Siemens) Detector

26 Spiral CT Scanner Gantry Data acquisition system Table Computer
Parallel processors Control console Storage units Tapes, disks Recording device Network interface X-ray generator Heat exchanger (From Elscint)

27 E-Beam CT Scanner Speed: 50, 100 ms Thickness: 1.5, 3, 6, 10 mm
ECG trigger cardiac images (From Imatron)

28 Computed Tomography Principles
1. Projection measurement 2. Scanning modes 3. Scanner systems 4. Image reconstruction

29 Computed Tomography y Computed tomography (CT): Image reconstruction from projections t P(t) P(t) f(x,y) x f(x,y) X-rays

30 Reconstruction Idea =4 2=3 3=2 4=1

31 Algebraic Reconstruction Technique (ART)
3 2 4 1 6 -2 Update a guess based on data differences Guess 1 Guess 0 Guess 2 Error

32 Fourier Transformation
f(x,y) F(u,v) Fourier Transform Image Space Fourier Space

33 Fourier Slice Theorem y P(t) v t F[P(t)]   u x F(u,v) f(x,y)
X-rays v F[P(t)] u F(u,v)

34 From Projections to Image
y x v u F-1[F(u,v)] f(x,y) P(t) F(u,v)

35 Filtered Backprojection
f(x,y) P(t) P’(t) 1) Convolve projections with a filter 2) Backproject filtered projections

36 Example: Projection Projection Projection Sinogram Ideal Image

37 Example: Backprojection

38 Example: Backprojection
Sinogram Backprojected Image

39 Example: Filtering Sinogram Filtered Sinogram

40 Example: Filtered Backprojection
Filtered Sinogram Reconstructed Image

41 References T. S. Curry III, J. E. Dowdey, R. C. Murry Jr. Christensen’s physics of diagnostic Radiology (4th edition), Lea & Febiger (for residents) G. Wang, M. W. Vannier: Computerized tomography. Encyclopedia of Electrical and Electronics Engineering, edited by Webster JG, to be published by John Wiley & Sons (for engineers) (on-line slides & handouts in the Teaching section)


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