Detective efficiency of photon counting detectors with spectral degradation and crosstalk. Issue 1 (22nd November 2019)

• Record Type: Journal Article
• Authors: Rajbhandary, Paurakh L.; Persson, Mats; Pelc, Norbert J.
• Is Part Of: Medical physics. Volume 47:Issue 1(2020)
• Page Start: 27
• Page End: 36
• Publication Date: 2019-11-22
• Subjects: charge sharing -- K‐fluorescence escape -- material decomposition -- photon counting detector -- spatio‐energetic correlation -- spectral CT; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1002/mp.13889
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: Charge sharing and migration of scattered and fluorescence photons in an energy discriminating photon counting detector (PCD) degrade the detector's energy response and can cause a single incident photon to be registered as multiple events at different energies among neighboring pixels, leading to spatio‐energetic correlation. Such a correlation in conventional linear, space‐invariant imaging system can be usefully characterized by the frequency dependent detective quantum efficiency DQE(f). Defining and estimating DQE(f) for PCDs in a manner consistent with that of conventional detectors is complicated because the traditional definition of DQE(f) does not address spectral information. Methods: We introduce the concept of presampling spectroscopic detective quantum efficiency, DQEs (f), and present an analysis of it for CdTe PCDs using a spatial domain method that starts from a previously described analytic computation of spatio‐energetic crosstalk. DQEs (f) is estimated as the squared signal‐to‐noise ratio of the amplitude of a small‐signal sinusoidal modulation of the object (cortical bone) thickness at frequency f estimated using data from the detector under consideration compared that obtained from the photon distribution incident on the detector. DQEs for material decomposition (spectral) and effective monoenergetic imaging tasks for different pixel pitch is studied based on the multipixel Cramér‐Rao lower bound (CRLB) that accounts for inter pixel basis material correlation. Effective monoenergetic DQEs is estimated from the CRLB of a linear weighted combination of basis materials, and its energy dependence is also studied. Results: Zero frequency DQEs for the spectral task was ~18%, 25%, and 34% for 250 μm, 500 μm, and 1 mm detector pixels respectively. Inter pixel signal correlation results in positive noise correlation between same basis material estimates of neighboring pixels, resulting in least impact on DQEs at the detector's Nyquist frequency. Effective monoenergetic DQEs (0) at the optimal energy is relatively tolerant of spectral degradation (85–91% depending on pixel size), but is highly dependent on the selected effective energy, with maximum variation (in 250 μm pixels) of 17% to 85% for effective energy between 30 to 120 keV. Conclusions: Our results show that spatio‐energetic correlations degrade DQEs (f) beyond what is lost by poor spectral response in a single detector element. The positive correlation between computed single basis material values in neighboring pixels results in the penalty to DQEs (f) to be the least at the Nyquist frequency of the detector. It is desirable to reduce spectral degradation and crosstalk to minimize the impact on system performance. Larger pixels sizes have better spatio‐energetic response due to lower charge sharing and escape of scatter and K‐fluorescence photons, and therefore higher DQEs (0). Effective monoenergetic DQEs (0) at the optimal energy is much less affected by spectral degradation and crosstalk compared to DQEs for spectral tasks.