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Computed Tomography is an imaging method which uses in X-Rays. This course is part of Radiology courses. This course is basic and important course for Medical students. This lecture includes: Image Quality, Spatial Resolution, Contrast Resolution, Artifacts, Display Resolution, Spatial Resolution, Limiting Resolution, Spatial Resolution, Geometric Factors, Geometric Unsharpness
Typology: Slides
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Spatial Resolution
Image Noise
Contrast Resolution
Artifacts
Limited resolution = 15 line pairs per cm Pair is 1/15th^ cm Object is half of pair 1/15th^ / 2 1/30th^ cm .033 cm 0.33 mm
1/15th^ cm
1/30th^ cm
Focal spot size detector aperture width slice thickness or collimation Less variation likely for thinner slices attenuation variations within a voxel are averaged partial volume effect
Decreased spatial
resolution if object blurred over several detectors
Detector aperture size
must be < object for object to be resolved
Focal Spot
Detectors
Small Object to be Imaged
512 X 512 pixels standard
smoothing or enhancing of edges
1-2 mm
increases resolution increases noise Noise can be offset by using higher doses
Known as “targeting”
low spatial frequency algorithm smooths image Loss of spatial resolution Reduces noise enhances perceptibility of low contrast lesions
CT Contrast Resolution Depends on Noise
Good contrast resolution requires that detector sensitivity be capable of discriminating small differences in intensity