Spatial frequency-dependent pulse height spectrum and method for analyzing detector DQE(f) from ensembles of single x-ray images.

PURPOSE Scintillators and photoconductors used in energy integrating detectors (EIDs) have inherent variations in their imaging response to single detected x-rays due to variations in x-ray energy deposition and secondary quanta generation and transport, which degrades DQE(f). The imaging response of x-ray scintillators to single x-rays may be recorded and studied using single x-ray imaging (SXI) experiments; however, no method currently exists for relating SXI experimental results to EID DQE(f). This work proposes a general analytical framework for computing and analyzing the DQE(f) performance of EIDs from single x-ray image ensembles using a spatial frequency-dependent pulse height spectrum. METHODS A spatial frequency (f) dependent gain, g∼(f) , is defined as the Fourier transform of the imaging response of an EID to a single detected x-ray. A f-dependent pulse height spectrum, Pr[g∼(f)] , is defined as the 2D probability density function of g∼(f) over the complex plane. Pr[g∼(f)] is used to define a f-dependent Swank factor, AS (f), which fully characterizes the DQE(f) degradation due to single x-ray noise. AS (f) is analyzed in terms of its degradation due to Swank noise, variations in the frequency-dependent attenuation of |g∼(f)| , and noise in argg∼(f) which occurs due to variations in the asymmetry in each single x-ray's imaging response. Three example imaging systems are simulated to demonstrate the impact of depth-dependent variation in g∼(f) , remote energy deposition, and a finite number of secondary quanta, on Pr[g∼(f)] , AS (f), MTF(f), and NPS(f)/NPS(0), which are computed from ensembles of single x-ray images. The same is also demonstrated by simulating a realistic imaging system; i.e. a Gd2 O2 S-based EID. Using the latter imaging system, the convergence of AS (f) estimates is investigated as a function of the number of detected x-rays per ensemble. RESULTS Depth-dependent g∼(f) variation resulted in AS (f) degradation exclusively due to depth-dependent optical Swank noise and the Lubberts effect. Conversely, the majority of AS (f) degradation caused by remote energy deposition and finite secondary quanta occurred due to variations in argg∼(f) . When using input x-ray energies below the K-edge of Gd, variations in the frequency-dependent attenuation of |g∼(f)| accounted for the majority of AS (f) degradation in the GOS-based EID, and very little Swank noise and variations in argg∼(f) were observed. Above the K-edge, however, AS (f) degradation due to Swank noise and variations in argg∼(f) greatly increased. The convergence of AS (f) was limited by variation in argg∼(f) ; imaging systems with more variation in argg∼(f) required more detected x-rays per ensemble. CONCLUSIONS An analytical framework is proposed that generalizes the pulse height spectrum and Swank factor to arbitrary f. The impact of single x-ray noise sources such as the Lubberts effect, remote energy deposition, and finite secondary quanta on detector performance may be represented using Pr[g∼(f)] , and quantified using AS (f). The approach may be used to compute MTF(f), NPS(f), and DQE(f) from ensembles of single x-ray images and provides an additional tool to analyze proposed EID designs. This article is protected by copyright. All rights reserved.