X-Ray Projection Imaging: Detector Technology Flashcards
What are the dominant photon interactions within the diagnostic energy range? Which of these is used for x-ray photon detection and why?
- Rayleigh scattering. Elastic scattering of photon from a bound electron => not useful for x-ray photon detection.
- Compton scattering. Inelastic scattering of photon from an outer shell electron (ejecting the electron in the process). However, the ejected electron typically has low energy and a short path length making it difficult to detect before absorption. Resultant radiative transitions are also difficult to detect and localise. => not useful for x-ray photon detection.
- Photoelectric effect. Inner shell electron is ejected after absorbing energy of incident photon. Photoelectron energy depends on incident photon energy and inner shell electron binding energy. Radiative transitions involve K-shell and are typically in the visible spectrum. => useful for x-ray photon detection.
How do the dominant photon interactions within the diagnostic energy range approximately vary with E and Z.
- Photoelectric effect proportional to Z^3/E^3.
- Compton scattering proportional to 1/E.
- Rayleigh scattering proportional to Z^2/E^2.
What does the photon interaction cross-section describe and how can it be measured?
The cross-section is the probability of an interaction. For the photoelectric effect, this can be measured by looking at the mass-attenuation coefficient.
What properties of a material are required for efficient detection of photons in the diagnostic energy range?
- Want a material with a high probability of photoelectric interaction within the diagnostic energy range. As the probability of photon interaction is proportional to Z^3, we want a material with a high Z.
- We also want a material in which transition energies match that of the incoming photon. This results in a K-edge, ‘boosting’ the photoelectric effect cross-section in the diagnostic energy range.
How does direct x-ray photon detection work in general?
Direct detection utilises the photoelectrons produced in the photoelectric interaction between incident x-ray photons and the material (x-ray -> charge -> signal).
How do direct semiconductor detectors work?
Photoelectrons (resulting from photoelectric interaction between incident x-ray photons and the semiconductor material) generate subsequent ionisation events within the material. This creates electrons/holes and a measurable charge for detection. A large electric field is applied across the material to prevent lateral spread of charge carriers so the point of interaction can be localised for good spatial resolution. a-Se is the most common.
What are the limitations of direct a-Se detectors?
- K-edge of a-Se is at low energy (useful for mammography) => thicker layer required for efficient detection. This means a larger electric field is required to maintain spatial resolution => increased dark current and reduced SNR at low doses. Electron mobility/trapped electron issues increase. Cost also increases.
- Cooling is required to prevent a-Se crystallisation.
- Resultant pixel value depends on energy deposited at that pixel - ideally want equal efficiency across the whole energy range.
How does indirect x-ray photon detection work in general?
Indirect detection utilises the light photons produced in radiative transitions subsequent to the photoelectric interaction between incident x-ray photons and the material (x-ray -> light -> charge -> signal). This could be in the form of fluorescence (photon produced in rapid decay of electron back to ground state) or phosphorescence (photon produced in delayed decay of trapped electron to ground state).
How do indirect flat-panel detectors work?
Photons produced via fluorescence in a ‘scintillation layer’ are converted to charge via a light detection system (e.g. photodiode a-Si array or CCD - former is most common). Doped CsI is the most common scintillation material. Gadolinium-based materials also used but not as common.
How do indirect CR detectors work?
Incident x-ray photons excite electrons within a photostimulable phosphor material (BaFBr:Eu is the most common) into trapped states. Red light exposure releases these trapped electrons producing blue light photons in a process known was photostimulated luminescence. Photons are detected by an array of PMTs. CR plate erased by exposure to intense white light.
Why are indirect CsI-based detectors more efficient that gadolinium-based indirect detectors?
- CsI can be deposited in a needle-like crystal structure. The improves spatial resolution where the needle structures act as a ‘light guide’ for photons => CsI layer thickness can be increased, thus increasing efficiency.
- Gadolinium-based detectors are formed in a powder structure. This means a trade-off is required as increasing thickness (to improve efficiency) will reduce spatial resolution due the increased scatter probability for photons.
What are the limitations of indirect CsI-based detectors?
- Fill factor associated with the readout electronics in a photodiode pixel array means pixel size can only be made so small, limiting the spatial resolution achievable. This means they are not as useful as direct detectors for mammography.
- Relatively fragile.
- Expensive.
What are the limitations of indirect CR detectors?
- Laser spot size limits resolution.
- Light spread in phosphor material limits resolution.
- Dirt etc. can cause dropouts.
- Mechanical problems with reader.
- Cracks in plate.
- Images fade over time.
- Ghost images due to erasure problems.
- Careful storage required to ensure no unwanted exposure.
Describe the signal transfer property (STP) for a direct digital detector absolute raw image.
Pixel value increases linearly with dose over a large dynamic range. It will be limited at the lower end by noise. At the higher end, it will be limited by charge saturation.
Give some examples of how raw x-ray images are processed?
- Flat-fielding: A correction map is created by exposing the detector to a uniform x-ray dose. This is used to
corrects for spatial variation in detector response. - Defective pixels: A correction map is created to correct for defective pixels (typically by averaging the surrounding pixel values).
- Pre-processing to map the dynamic range of diagnostic information to an image (typically performed via histogram analysis).
- Post-processing to reduce the dynamic range to a level that can be displayed on a monitor (i.e. window/level).