Markku J Tapiovaara

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The relationship and precision of four methods for measuring the low-contrast detail detectability in fluoroscopic imaging were studied. These included the physical measurement of the accumulation rate of the square of the signal-to-noise ratio (SNR(rate)2), two-alternative forced-choice (2-AFC) experiments, sixteen-alternative forced-choice (16-AFC)(More)
The detectability of a static low-contrast detail in the dynamic fluoroscopic image of a homogeneous phantom was assessed by physical measurement of the signal-to-noise ratio (SNR) and by psychophysical measurement of the human observer detectability index d'. The two-alternative forced-choice method was used for human observer tests. The image data(More)
Although optimal decision functions for many simple detection/discrimination tasks can be cast in a form linear in the signal data, more complicated tasks require the addition of higher-order terms. This is typically the case when parameter uncertainty is allowed, in imaging for example, for the detection of a target of known size and shape but unknown(More)
The conclusions presented in the STUK report series are those of the authors and do not necessarily represent the official position of STUK Abstract The report describes FluoroQuality, a computer program that is developed in STUK and used for measuring the image quality in medical fluoroscopic equipment. The method is based on the statistical decision(More)
The conclusions presented in the STUK report series are those of the authors and do not necessarily represent the official position of STUK. TAPIOVAARA Markku. Relationships between Physical Measurements and User Evaluation of Image Quality in Medical Radiology – a Review. STUK-A219. Helsinki 2006, 62 pp. Abstract There are many tasks in radiology(More)
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