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Proceedings Paper

Studying the relative impact of ghosting and noise on the perceived quality of MR images
Author(s): Hantao Liu; Jos Koonen; Miha Fuderer; Ingrid Heynderickx
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Paper Abstract

In current magnetic resonance (MR) imaging systems, design choices are confronted with a trade-off between structured (i.e. artifacts) and unstructured noise. The impact of both types of noise on perceived image quality, however, is so far unknown, while this knowledge would be highly beneficial for further improvement of MR imaging systems. In this paper, we investigate how ghosting artifacts (i.e. structured noise) and random noise, applied at the same energy level in the distortion, affect the perceived quality of MR images. To this end, a perception experiment is conducted with human observers rating the quality of a set of images, distorted with various levels of ghosting and noise. To also understand the influence of professional expertise on the image quality assessment task, two groups of observers with different levels of medical imaging experience participated in the experiment: one group contained fifteen clinical scientists or application specialists, and the other group contained eighteen naïve observers. Experimental results indicate that experts and naïve observers differently assess the quality of MR images degraded with ghosting/noise. Naïve observers consistently rate images degraded with ghosting higher than images degraded with noise, independent of the energy level of the distortion, and of the image content. For experts, the relative impact of ghosting and noise on perceived quality tends to depend on the energy level of the distortion and on the image content, but overall the energy of the distortion is a promising metric to predict perceived image quality.

Paper Details

Date Published: 22 February 2012
PDF: 6 pages
Proc. SPIE 8318, Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment, 83181K (22 February 2012); doi: 10.1117/12.911019
Show Author Affiliations
Hantao Liu, Technische Univ. Delft (Netherlands)
Jos Koonen, Philips Medical Systems International B.V. (Netherlands)
Miha Fuderer, Philips Medical Systems International B.V. (Netherlands)
Ingrid Heynderickx, Technische Univ. Delft (Netherlands)
Philips Research Nederland B.V. (Netherlands)


Published in SPIE Proceedings Vol. 8318:
Medical Imaging 2012: Image Perception, Observer Performance, and Technology Assessment
Craig K. Abbey; Claudia R. Mello-Thoms, Editor(s)

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