In this work, a simple technique to assess the image quality characteristics of the postprocessed image is developed and an easy to use figure of image quality (FIQ) is introduced.
Signal-to-noise ratio (SNR) in regions where uptake might be expected to be uniform such as the liver and aortic arch is a commonly used measure of image quality in studies investigating the relationship between image quality and administered activity [4].
A 5-point analogue scoring system (5 = good quality, 1 = poor quality) was used for evaluation of image quality of the following arteries: VA, ICA, BA, SCA, AICA, ophthalmic artery, A1, Acom, A2, M1, P1, P2, Pcom, and P3.
Guidance in finding the optimal parameter values can be obtained using trade-off plots of image quality parameters such as contrast, noise and resolution [10-12] [10-12]g normalised mean squsingerrors [13,14], but normalisedese strategies are suitable for optimeanng the parameter valuesquaretherrorsmethod.
To the extent that CNR can be used as a measure of image quality, this means that images acquired with the HR collimator have the same image quality as those acquired with the GP collimator at the same acquisition time.
A NEMA image quality (IQ) phantom containing six spheres with internal diameters of 10, 13, 17, 22, 28, and 37 mm was used for the evaluation of image quality.
PURPOSE The task-based assessment of image quality using model observers is increasingly used for the assessment of different imaging modalities.
We used PSNR for the evaluation of image quality.
The liver signal-to-noise ratio (SNR) was used as a quantitative measure of image quality.
A number of methodologies have been developed for this purpose, most of which are based on psychometrics [6] and standard procedures exist for estimating aspects of image quality using psychometric scaling [7 9].
