1999
DOI: 10.1364/josaa.16.000621
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Signal-to-noise optimization of medical imaging systems

Abstract: Over recent decades a quiet revolution has taken place in the application of modern imaging theory to many fields of applied imaging. Nowhere has this movement been more dramatic than within the field of diagnostic medical x-ray imaging, to the extent that there is now a growing consensus around a universal imaging language for the description and inter-comparison of the increasingly diverse range of technologies. This common language owes much to the basic quantum-limited approach pioneered by Rose and his co… Show more

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Cited by 167 publications
(121 citation statements)
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“…Ongoing developments in the spatial domain methods include means of reducing the bias in estimates of d when the sample size is small. [73][74][75] In various previous studies aimed at system development and optimization (including this work), [76][77][78][79] the Fourier approach has been employed for reasons of practicality, computational speed, and the ability to estimate the MTF, NPS, and d with a small sample of realizations. The performance of the Fourier approach was found to be reasonable when only a small sample size is available, for example, d calculated from 10 samples (in a 49 × 49 ROI) was within 12.0% of that calculated using 30 000 samples (0.5 cm sphere detection task in location 1 of the Thorax phantom).…”
Section: Appendix: Assessment Of Spatial Localitymentioning
confidence: 99%
“…Ongoing developments in the spatial domain methods include means of reducing the bias in estimates of d when the sample size is small. [73][74][75] In various previous studies aimed at system development and optimization (including this work), [76][77][78][79] the Fourier approach has been employed for reasons of practicality, computational speed, and the ability to estimate the MTF, NPS, and d with a small sample of realizations. The performance of the Fourier approach was found to be reasonable when only a small sample size is available, for example, d calculated from 10 samples (in a 49 × 49 ROI) was within 12.0% of that calculated using 30 000 samples (0.5 cm sphere detection task in location 1 of the Thorax phantom).…”
Section: Appendix: Assessment Of Spatial Localitymentioning
confidence: 99%
“…(2.7), the units of the NPS depend on the units of the image signal and thus are different between ACT and DPC-CT. By expressing the image noise in terms of the number of Poisson-distributed photons per unit length/area at each spatial frequency, an absolute scale of noise, the NEQ, can be introduced. 45 The frequency-dependent NEQ of a 2D axial CT is given by 42,43 …”
Section: Iic Noise Equivalent Quantamentioning
confidence: 99%
“…The rotation thus prevents damage to the anode and permits large tube currents to be used so that sufficient x-ray photons can be generated to produce high-quality images. 25 The images are of high quality because producing more photons enables high signal-to-noise ratio images to be produced over short exposure times, which is critical for typical cineangiography needed in percutaneous aortic valve replacement procedures.…”
Section: Principle Of X-ray Tube Motor Operationmentioning
confidence: 99%