This study assesses the impact of charge summing correction (CSC) on a Cadmium Telluride (CdTe) Photon Counting Detector in breast CT. A laboratory benchtop system that consists of a 0.1 mm pixel pitch CdTe detector and a tungsten anode X-ray source. Images were acquired at 55 kVp with 2 mm Al external filtration under three different tube currents of 25, 100, and 200 mA at high and low energy thresholds. Performance was evaluated using contrast to noise ratio (CNR), modulation transfer function (MTF), noise power spectrum (NPS), and iodine quantification. Anticoincidence (AC) and single pixel (SP) modes were compared, both with signal-to-thickness calibration and FDK reconstruction. AC mode displayed enhanced low-energy contrast and accurate iodine quantification, while SP mode had better CNR at low-energy. High fluence reduced AC mode uniformity, but not SP. Results indicate that CSC in breast CT improves iodine quantification but with the tradeoff of increased noise in low-energy images. These effects are dependent on the studied system and operational parameters.
This work proposes a method for the geometric calibration of photon counting detector (PCD) based cone-beam CT systems. The method iteratively searches for the optimal geometric system parameters in the reconstruction domain. It involves the reconstruction of metal ball bearings (BBs) placed in random and non-overlapping locations in the angular projection images. The PCD-based cone-beam system is assumed to have a mechanically stable rotation center, and the PCD to have no severe out-of-plane rotations (< 2°). In the reconstruction domain, a figure of merit (FOM) is defined based on the BBs mean sphericity (Ψ) and standard deviation ( 𝜎𝜎𝐵𝐵𝐵𝐵) among their estimated volumes. Computer simulations were performed to test the validity of the method. Results from computer simulations revealed that the proposed method is valid and easy to implement. The estimated geometric parameters yielded values of Ψ close to unity with minimum 𝜎𝜎𝐵𝐵𝐵𝐵 enabling the FOM to produce system parameters close to the defined ground truth in simulations.
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