Paper
19 March 2014 Relative object detectability (ROD): a new metric for comparing x-ray image detector performance for a specified object of interest
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Abstract
Relative object detectability (ROD) quantifies the relative performance of two image detectors for a specified object of interest by taking the following ratio: the integral of detective quantum efficiency of a detector weighted by the frequency spectrum of the object divided by that for a second detector. Four different detectors, namely the microangiographic fluoroscope (MAF), the Dexela Model 1207 (Dex) and Hamamatsu Model C10901D-40 (Ham) CMOS xray detectors, and a flat-panel detector (FPD) were compared. The ROD was calculated for six pairs of detectors: (1) Dex/FPD, (2) MAF/FPD, (3) Ham/FPD, (4) Dex/Ham, (5) MAF/Ham and (6) MAF/Dex for wires of 5 mm fixed length, solid spheres ranging in diameter from 50 to 600 microns, and four simulated iodine-filled blood vessels of outer diameters 0.4 and 0.5 mm, each with wall thicknesses of 0.1 and 0.15 mm. Marked variation of ROD for the wires and spheres is demonstrated as a function of object size for the various detector pairs. The ROD of all other detectors relative to the FPD was much greater than one for small features and approached 1.0 as the diameter increased. The relative detectability of simulated small iodine-filled blood vessels for all detector pairs was seen to be independent of the vessel wall thickness for the same inner diameter. In this study, the ROD is shown to have the potential to be a useful figure of merit to evaluate the relative performance of two detectors for a given imaging task.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. Singh, A. Jain, D. R. Bednarek, and S. Rudin "Relative object detectability (ROD): a new metric for comparing x-ray image detector performance for a specified object of interest", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90335I (19 March 2014); https://doi.org/10.1117/12.2043504
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Cited by 6 scholarly publications.
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KEYWORDS
Sensors

Sensor performance

Optical spheres

Blood vessels

CMOS sensors

Image sensors

Solids

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