CT 2

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Axial CT

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Axial CT

Gantry stops + rotates to get data from single slice, X-rays switched off, pt moves to next slice, Rotates to acquire data from next slice

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Helical CT

AKA spiral/volume CT Gantry rotating continuously releasing x-ray beams table simultaneously moves results in a continuous spiral scanning pattern

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MDCT

Multi-Detector CT 2/more rows of parallel detector arrays Allows acquisition of multiple slices in a single rotation

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<p>Advantages of MDCT</p>
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<p>Advantages of MDCT</p>

Advantages of MDCT

Faster scanning time due to wider total active detector width Fewer motion artefacts

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Reduced patient risk

Ideal for trauma imaging – cover entire pt in 1 scan Fast scan times minimise time on table for critically ill patients Paediatric scanning can be done with less sedation Less contrast required reduces risk of adverse reaction

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Thinner slices

Improved z-axis resolution Isotropic imaging (equal voxel dimensions) Improved multi-planar reformats (MPRs) Improved 3D image rendering

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<p>MDCT detector</p>
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<p>MDCT detector</p>

MDCT detector

slice thickness is determined by collimation Electronic detector selection (detector switching)

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configuration

3 types: Uniform/linear Non-uniform/adaptive Hybrid/mixed

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Uniform

All rows have same size, width, thickness

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Non-uniform

Not all equal Smaller in middle, larger outside Improves dose efficiency Less division/ dead spaceExpensive Flexible

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Hybrid

Set of narrow + set of non-uniformMain type

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Pitch

= ratio of distance moves per rotation to total w/ beam width

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Higher pitch

less pt dose + quickerLower imaging quality because less images acquired

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lower pitch

more pt dose + quicker better imaging quality

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Beam pitch

able distance travelled in 1 360 by gantry rotation divided by total thickness of all simultaneous acquired slice.

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Pitch determination

Pitch determined by how quickly table moves ---> in MDCT, factor in total thickness because there are more than 1 detectore.g. in multi: 7.5/4 * 2.5= 0.75 while in single 7.5/5.0=1.5

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<p>cone beam acquisition</p>
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<p>cone beam acquisition</p>

cone beam acquisition

Having more detectors and more slices means a having wider beam width A cone beam is required to cover the whole detector width

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Cone Beam Reconstruction

With increased number of slices, the cone beam generates cone beam artefacts As tube rotates, off-centre objects are visualised by different detector rows

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Cone Beam Interpolation (2)

Tilted Reconstruction- produces non-axial images which are then filtered to produce standard axial images

‘Feldkamp Algorithm’ - a 3D back projection (standard FBP is planar + therefore 2D)

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Tilted (Oblique) Reconstruction

Reconstruct using BP, at an angle to the axial plane Overlap reconstructions and filter along the z-axis Basis of GE and Siemens techniques

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Feldkamp Algorithm

Measurements are being taken from different angles for each patient ‘voxel’. The section of pt being imaged is divided into 3D voxels rather than a 2D matrix of pixels as happens in back projection

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Image Quality in CT

image showing visibility of anatomical structures, various tissues, + signs of pathology A measure of how suitable an image is for its intended diagnostic purpose Suitability is determined if specific relevant criteria are met

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Desired attributes

Good image Q but low dose Low noise Fast scanning Free of artefact High spatial resolution Less blurring

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Factors affecting CT

pt factor, reconstruction, scan parameters, viewing conditions, re solution

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Noise

Variation in CT no. which isn't related to true attenuation co-efficient Amount of ‘mottle’ in image

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Noise occurs because...

Random variation in photons detection – stochastic noise stat fluctuation in x-ray production /interaction/detection Electronic noise=measuring system Reconstruction noise

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disadvantage of noise

Lower noise= better LCD (low contrast detection) Smooth image does not vary from the value Noise= can mask detail

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Quantifying noise

Measure noise/deviation Can be quantified: standard deviation in %

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Factors affecting noise

Scanner specifications and design Scanning acquisition parameters Reconstruction parameters Patient factors

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Scanner specifications and design

Efficiency of detectors X-ray beam filtration Scanner geometry

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Scanning acquisition parameters

Tube voltage Tube current Scan time Slice thickness Pitch

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Reconstruction parameters

Back projection algorithms Noise filters

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Patient factors

pt size

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