Premium
Extension of x‐ray imaging linear systems analysis to detectors with energy discrimination capability
Author(s) -
Marchal Julien P.
Publication year - 2005
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.1951041
Subject(s) - figure of merit , detective quantum efficiency , detector , optics , physics , x ray detector , context (archaeology) , digital radiography , mammography , energy (signal processing) , digital mammography , optical transfer function , weighting , computer science , image quality , radiography , artificial intelligence , acoustics , image (mathematics) , medicine , paleontology , cancer , breast cancer , nuclear physics , biology , quantum mechanics
A figure of merit, the broad‐spectrum generalized detective quantum efficiency, which describes the performance of digital detectors designed for broad‐spectrum x‐ray imaging is derived from linear response theory. This measure of the imaging efficacy of an x‐ray sensor is obtained when detector contrast modulation in the domain of x‐ray energy is introduced in the Fourier‐based analysis of digital systems. A method is proposed to scale existing figures of merit according to the energy‐dependent response of the detector and the spectral shape of the x‐ray beam. The new figure of merit obtained with this method provides an extended description of system performance when comparing energy‐integrating, single‐photon counting, and future energy‐sensitive x‐ray imaging sensors. The applicability of this linear system analysis is restricted to the tasks of low‐contrast object detection in radiography. The method for scaling the figure of merit to take into consideration broad‐spectrum conditions is applied to mammography for future energy‐dependent detectors. An approximation valid in the typical mammographic x‐ray energy range is used to calculate the broad‐spectrum generalized detective quantum efficiency at zero spatial frequency, for several mammographic x‐ray spectra. X‐ray energy weighting in mammography is investigated in the context of simulated tumors and microcalcifications detection by comparing this figure of merit, calculated for different detector technologies, under ideal imaging conditions, at zero spatial frequency.