In medical DR equipment, the flat panel detector is a crucial component, and its performance directly affects the quality of the captured images. There are numerous brands and models of flat panel detectors on the market, and selecting the appropriate detector requires attention to multiple key parameters. The following is a detailed explanation of the seven core parameters of DR flat panel detectors:
Pixel size: involves resolution, system resolution, image resolution, and maximum resolution. The selection of pixel size should be based on specific detection requirements and should not blindly pursue small pixel sizes.
Types of scintillators: Common amorphous silicon scintillator coating materials include cesium iodide and gadolinium oxysulfide. Cesium iodide has strong conversion ability but high cost, while gadolinium oxysulfide has fast imaging speed, stable performance, and low cost.
Dynamic range: refers to the range within which the detector can accurately measure the intensity of radiation. The larger the dynamic range, the better the contrast sensitivity can still be obtained even in the case of large differences in the thickness of the inspected workpiece.
Sensitivity: The minimum input signal strength required for the detector to detect signals is determined by multiple factors such as X-ray absorption rate.
Modulation Transfer Function (MTF): It represents the detector’s ability to distinguish image details. The higher the MTF, the more accurate the image information can be obtained.
Quantum detection efficiency DQE: defined as the ratio of the square of the output signal-to-noise ratio to the square of the input signal-to-noise ratio. When DQE is high, the same image quality can be obtained with lower doses.
Other characteristics include noise, signal-to-noise ratio, normalized signal-to-noise ratio, linearity, stability, response time, and memory effect, which collectively affect the performance and image quality of the detector.
When selecting DR flat panel detectors, the above parameters should be comprehensively considered, and the choice should be made based on specific application scenarios and requirements.
Post time: Nov-30-2024