multi-slice ct or multidetector ct (mdct) 1991 · slice thickness: single detector array scanners...
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Multi-slice CT or MultiDetector CT (MDCT) 1991
Multi-slice CT or MultiDetector CT (MDCT) 1991
Multiple rows of fan beam detectors Wider fan beam in axial direction Table moves much faster Substantially greater throughput
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Multi-slice CTMulti-slice CT
Multi-slice CT
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Multiple detector arrays
Set of several linear detector arrays, tightly abutted
Use solid-state detector arrays Slice width is determined by the detectors, not
by the collimator (although collimator does limit the beam to the total slice thickness)
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Multiple detector arrays (cont.)
3rd generation multiple detector array with 16 detectors in the slice thickness dimension and 750 detectors along each array uses 12,000 individual detector elements
4th generation scanner would require roughly 6 times as many detector elements; consequently currently planned systems use 3rd generation geometry
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Slice thickness:single detector array scanners
Determined by the physical collimation of the incident x-ray beam with two lead jaws
Width of the detectors places an upper limit on slice thickness
For scans performed at the same kV and mAs, the number of detected x-ray photons increases linearly with slice thickness
Larger slice thicknesses yield better contrast resolution (higher SNR), but the spatial resolution in the slice thickness dimension is reduced
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Slice thickness:multiple detector array scanners
In axial scanning (i.e., with no table movement) where, for example, four detector arrays are used, the width of the two center detector arrays almost completely dictates the thickness of the slices
For the two slices at the edges of the scan, the inner side of the slice is determined by the edge of the detector, but the outer edge is determined either by the outer edge of the detector or by the collimator penumbra, depending on collimator adjustment
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Slice thickness: MDA (cont.)
In helical mode, each detector array contributes to every reconstructed image Slice sensitivity profile for each detector array needs to be
similar to reduce artifacts Typical to adjust the collimation so that the focal spot –
collimator blade penumbra falls outside the edge detectors Causes radiation dose to be a bit higher (especially for small slice
widths) Reduces artifacts by equalizing the slice sensitivity profiles
between the detector arrays
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Detector pitch/collimator pitch
Pitch is a parameter that comes into play when helical scan protocols are used
In a helical scanner with one detector array, the pitch is determined by the collimator
Collimator pitch = table movement (mm) per 360-degree rotation of gantry / collimator width (mm) at isocenter
Pitch may range from 0.75 (overscanning) to 1.5 (faster scan time, possibly smaller volume of contrast agent)
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Pitch (cont.)
For scanners with multiple detector arrays, collimator pitch is still valid
Detector pitch = table movement (mm) per 360-degree rotation of gantry / detector width (mm)
For a multiple detector array scanner with N detector arrays, collimator pitch = detector pitch / N
For scanners with four detector arrays, detector pitches running from 3 to 6 are used
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Multi-detector planes
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Multi-detector planesNew Technology
GE QXi (multi-detector CT) acquires four interweaving helices simultaneously.e.g., 4 x 5 mm slice = 20 mm total scan width
4-slice in one rotation
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Definitions of Pitch
Old definition: Table travel per rotation
P = slice thickness
New definition:
Table travel per rotationP’=
Total nominal scan width
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GE QXi High Quality (HQ) vs High Speed (HS)
Pitch = 15mm/20 mm =0.75
Pitch = 30mm/20 mm =1.5
20 mm
15 mm table travel
30 mm table travel
20 mm
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Typical characteristics of CT
1972 1980 1990 2000
Minimum scan time 300 s 5-10 s 1-2 s 0.3-1s
Data acquired per 360° 57.6 kB 1 MB 2MB 42 MB
Data per spiral sequence - - 24-48 MB 200-500 MB
Image matrix 802 2562 5122 5122
Power (generator) 2 kW 10 kW 40 kW 60 kW
Slice thickness 13 mm 2-10 mm 1-10 mm 0.5-5 mm
Toshiba Aquilion ONE CT
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320-slice (320 x 0.5 mm), 16cm gantry rotation, Year product introduced: 2007, 7.5 MHU, more than a $1 million
Toshiba Aquilion ONE Vision Edition
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640-slice. 0.275 sec rotation, 16cm gantry rotation, Year product introduced: 2012
Micro CT A miniaturized design The X-rayed measuring field, usually as small as 2cm3
for material testing and analysis, medical applications are on their way to taking center stage (analysis of trabecular structures in bones)
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Dual Energy CT Single Source or Dual Source
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Dual Energy CT
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Dual Source CT
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Dual Source CT
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Dual Source CTDetector 2 x Stellar detectorNumber of slices 2 x 128Rotation time 0.28 s‐1
Temporal resolution 75 ms-1, heart-rate independentGenerator power 200 kW (2 x 100 kW)kV steps 70, 80, 100, 120, 140 kVIsotropic resolution 0.33 mmCross-plane resolution 0.30 mmMax. scan speed 458 mm/s1 with Flash SpiralTable load up to 307 kgGantry opening 78 cm
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SPECT-CT
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SPECT-CT
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PET-CT
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PET-CT
4D PET-CT Image
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PE
T-C
T
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Measure Intensity of a Pencil Beam
X-Ray Source
Radiation Detector
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Principle of X-Ray CT
In one plane, obtain set of line integrals for multiple view angles
Reconstruct cross-sectional views
Detector
Linear scan
Angular scan
Object
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Pixels & Voxels
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Digital ImageDigital Image
2-dimensional array of individual image points calculated
each point called a pixel picture element
each pixel has a value value represents x-ray
transmission (attenuation)
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Pixels & Voxels
Pixel is 2D component of an image
Voxel is 3D cube of anatomyVolume Element
CT reconstruction calculates attenuation coefficients of Voxels
CT displays CT numbers of Pixels as gray shades
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Pixel & Voxel Size
Voxel depth same as slice thickness
Pixel dimension field of view / matrix size
FOV = 30 cm256 pixels 30 cmPixel size = ------------
256 pixels
Pixel size = 0.117 cm = 1.17 mm
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Attenuation Equation forMono-energetic Photon Beams
I = Ioe-x
I = Exiting beam intensityIo = Incident beam intensitye = constant (2.718…) = linear attenuation coefficient
•property of•absorber material•beam energy
x = absorber thickness
MaterialIo
I
x
For photons which are neither absorbed nor scattered
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Example Beam Attenuation
Using equation to calculate beam intensity for various absorber thicknesses ( = .223)
1cm100 80
I = Ioe-x
100*e-(0.223)(1) = 80-20%
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Example Beam Attenuation
Using equation to calculate beam intensity for various absorber thicknesses ( = .223)
1cm 1cm100 80 64
I = Ioe-x
100*e-(0.223)(2) = 64
-20% -20%
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Example Beam Attenuation
Using equation to calculate beam intensity for various absorber thicknesses ( = .223)
1cm 1cm 1cm100 80 64 51
I = Ioe-x
100*e-(0.223)(3) = 51
-20% -20% -20%
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Example Beam Attenuation
Using equation to calculate beam intensity for various absorber thicknesses ( = .223)
1cm 1cm 1cm 1cm100 80 64 51 41
I = Ioe-x
100*e-(0.223)(4) = 41
-20% -20% -20% -20%
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More Realistic CT Example Beam Attenuation for non-uniform Material 4 different materials 4 different attenuation coefficients
#1 #2 #3 #4
1 2 4
Io I
x
I = Ioe-(+++)x
xk
k
eII
0
IIx
kk
0ln
IIdxx 0ln)(
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Reconstruction:Solve for ’s
16 22 11 1017
22
12
10
15
13
11 12 13 14
21 22 23 24
31 32 33 34
41 42 43 44
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Real Problem Slightly More Complex
11 12 13 14
21 22 23 24
31 32 33 34
41 42 43 44
24 13 15 22 16
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13
22
9
14512 values
512values
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Effect of Beam Energy on Attenuation
Low energy photons more easily absorbed High energy photons more penetrating All materials attenuate a larger fraction of low
than high energy photons
Material100 80
Higher-energymono-energeticbeam
30Material
Lower-energymono-energeticbeam
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Mono vs. Poly-energetic X-ray Beam Equations below assume Mono-energetic x-
ray beam
#1 #2 #3 #4
1 2 4
Io I
x
I = Ioe-(+++)xI = Ioe-x
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Mono-energetic X-ray Beams
Available from radionuclide sources Not used in CT because beam intensity much
lower than that of an x-ray tube
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X-ray Tube Beam High intensity Produces poly-energetic beam
#1 #2 #3 #4
1 2 4
Io I
x
I = Ioe-(+++)xMono-energetic beam equation!
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Beam Hardening Complication Attenuation coefficients n depend on beam energy!!! Beam energy incident on each block unknown Four ’s, each for a different & unknown energy
1 2 4
1cm 1cm 1cm 1cm
I = Ioe-(+++)x
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Beam Hardening Complication
Beam quality changes as it travels through absorber greater fraction of low-energy photons removed from
beam Average beam energy increases
1cm 1cm 1cm 1cm
Fewer PhotonsBut higher avg
kV than A
Fewer PhotonsBut higher avg
kV than B
A B
Fewer PhotonsBut higher avg
kV than C
C D
Fewer PhotonsBut higher avg
kV than D
E
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Reconstruction
Scanner measures “I” for thousands of pencil beam projections
Computer calculates tens of thousands of attenuation coefficients one for each pixel
Computer must correct for beam hardening effect of increase in average beam energy from one side of
projection to other
I = Ioe-(++++)x
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CT Number (The Hounsfield Unit)
Calculated from reconstructed pixel attenuation coefficient
t - W)HU= CT # = 1000 ------------
W
Where:t = linear attenuation coefficient for tissue in pixelW = linear attenuation coefficient for water
Caculate CT # for Water. Answer: 0Caculate CT # for Air. Answer: -1000
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CT Numbers for Special Stuff
Bone: +1000 Water: 0 Air: -1000
t - W)CT # = 1000 ------------
W
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The Hounsfield scale
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Digital Image MatrixDigital Image Matrix
125 25 311 111 182 222 176
199 192 85 69 133 149 112
77 103 118 139 154 125 120
145 301 256 223 287 256 225
178 322 325 299 353 333 300
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Numbers / Gray ShadesNumbers / Gray Shades
Each number of a digital image corresponds to a gray shade for one pixel
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Digital to Analog Conversion(D to A)
Computer reconstructs digital image set of numbers
Computer displays analog image
125 25 311 111 182 222 176
199 192 85 69 133 149 112
77 103 118 139 154 125 120
145 301 256 223 287 256 225
178 322 325 299 353 333 300
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Analog vs. Digital Images
Analog continuous gray
shade information Digital
Discrete gray shade information
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Digital Image FormationDigital Image Formation
Clinical ImageScreen Wire Mesh
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Digital Image Formation:Sampling
Digital Image Formation:Sampling
Place mesh over image
Assign each square (pixel) a value based on density
Pixel values form the digital image
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-10
-650
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Digital Image Formation:Sampling
Digital Image Formation:Sampling
Each pixel assigned a value
Value averages entire pixelAny spatial variation
within a pixel is lostThe larger the pixel,
the more variation120
-10
-650
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Digital Image FormationDigital Image Formation The finer the mesh (sampling), the more accurate the
digital rendering
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What is this?What is this?
12 X 9 Matrix
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Same object, smaller squaresSame object, smaller squares
24 X 18 Matrix
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Same object, smaller squaresSame object, smaller squares
48 X 36 Matrix
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Same object, smaller squaresSame object, smaller squares
96 X 72 Matrix
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Same object, smaller squaresSame object, smaller squares
192 X 144 Matrix