Paper
3 March 2012 Quantification of ring artifact visibility in CT
Mats Persson, Bettina Meyer, Hans Bornefalk, Mats Danielsson
Author Affiliations +
Abstract
Ring artifacts appear in computed tomography images if there are too large inhomogeneities between different detector elements. The question of how large inhomogeneities are acceptable is gaining in importance due to the development of energy discriminating photon counting CT, where detector homogeneity is an important design parameter. We propose using the systematic-to-statistical error quotient q, defined as the variance of the expected log-normalized count number between detector elements (dels) divided by the variance of log-normalized count numbers measured with the same del, as a metric of ring artifact visibility. With a simple observer study using simulated images, it is shown that rings are visible in the reconstructed image if q exceeds a threshold which lies close to 1.2 • 10-3 for 1500 detector elements and 2000 projection angles. It is also shown by visual inspection of simulated images that the threshold value is, to a good approximation, inversely proportional to the number of angle measurements and independent of the number of detector elements. The results suggest that a simple oberver study, together with these scaling relationships, is sufficient for establishing sinogram homogeneity requirements for a particular reconstruction method.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mats Persson, Bettina Meyer, Hans Bornefalk, and Mats Danielsson "Quantification of ring artifact visibility in CT", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83132J (3 March 2012); https://doi.org/10.1117/12.910537
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Sodium

Neodymium

Visibility

Computed tomography

Stars

Visualization

Back to Top