&lt;title&gt;Multiparameter Optimization Of Mammography&lt;/title&gt;

Jafroudi, Hamid; Muntz, E. P.; Bernstein, H. J.; Jennings, Robert J.

doi:10.1117/12.933811

Cited by 7 publications

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“…Finally, some considerations of system efficiency and exposure optimisation are given by Wagner and Jennings (1979) and Jafroudi et al (1982), including effects of scatter (Wagner et al 1980) and beam energy (Motz and Danos 1978). These treatments involve the concept of detective quantum efficiency and the generalisation of this to exposure and dose efficiency.…”

Section: Exposure Efficiencymentioning

confidence: 99%

Unified SNR analysis of medical imaging systems

1985

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The ideal observer signal to noise ratio (SNR) has been derived from statistical decision theory for all of the major medical imaging modalities. This SNR provides an absolute scale for image system performance assessment and leads to instrumentation design goals and constraints for imaging system optimisation since no observer can surpass the performance of the ideal observer. The dependence of detectable detail size on exposure or imaging time follows immediately from the analysis. A framework emerges for comparing data acquisition techniques, e.g. reconstruction from projections versus Fourier methods in NMR imaging, and time of flight positron emission tomography (TOFPET) versus conventional PET. The approach of studying the ideal observer is motivated by measurements on human observers which show that they can come close to the performance of the idea) observer, except when the image noise has negative correlations-as in images reconstructed from projections-where they suffer a small but significant penalty.

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Section: Exposure Efficiencymentioning

confidence: 99%

Unified SNR analysis of medical imaging systems

1985

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“…While computational models are used to some extent in the regulatory evaluation of medical devices, 6 their use in imaging has been rare. Models of imaging systems have significantly improved since the late 1980s, [7][8][9] with sophisticated simulation tools increasingly used in research and development. In the last decade, powerful, efficient, and open-source radiation imaging system simulation tools have become freely available, allowing for a greater understanding of design choices.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

et al. 2018

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Key Points Question Can in silico imaging trials play a role in the evaluation of new medical imaging systems? Findings This diagnostic study used computer-simulated imaging of 2986 synthetic image–based virtual patients to compare digital mammography and digital breast tomosynthesis and found an improved lesion detection performance favoring tomosynthesis for all breast sizes and lesion types. The increased performance for tomosynthesis was consistent with results from a comparative trial using human patients and radiologists. Meaning The study’s findings suggest that in silico imaging trials and imaging system computer simulation tools can in some cases be considered viable sources of evidence for the regulatory evaluation of imaging devices.

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“…(1), (2), (18) including effects of scatter and beam energy (19), (20). There, the generalization of some of the above concepts to detective quantum efficiency, and the generalization of this to exposure and dose efficiency are given.…”

Section: Exposure Efficiencymentioning

confidence: 99%

<title>More Unified Analysis Of Medical Imaging System SNR Characteristics</title>

Wagner

Brown

1984

SPIE Proceedings

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The ideal observer signal-to-noise ratio has been derived from statistical decision theory for all of the major medical imaging modalities. This yields an absolute scale for image performance assessment and instrumentation design and optimization. Applications include: the functional dependence of detectable detail size on exposure or imaging time; a framework for comparing data acquisition techniques, e.g., Fourier methods vs reconstruction from projections in NMR imaging; calculations of realizable limits, e.g., the limiting gain of time-of-flight PET scanning. Measurements on human observers show that they can come close to ideal performance, except when the noise has negative correlations as in images reconstructed from projections. In this latter case they suffer a small but significant penalty.

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<title>Multiparameter Optimization Of Mammography</title>

Cited by 7 publications

References 0 publications

Unified SNR analysis of medical imaging systems

Unified SNR analysis of medical imaging systems

Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

<title>More Unified Analysis Of Medical Imaging System SNR Characteristics</title>

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