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The relative impact of ghosting and noise on the perceived quality of MR images

Liu, Hantao, Koonen, Jos, Fuderer, Miha and Heynderickx, Ingrid 2016. The relative impact of ghosting and noise on the perceived quality of MR images. IEEE Transactions on Image Processing 25 (7) , pp. 3087-3098. 10.1109/TIP.2016.2561406

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Abstract

Magnetic resonance (MR) imaging is vulnerable to a variety of artifacts, which potentially degrade the perceived quality of MR images and, consequently, may cause inefficient and/or inaccurate diagnosis. In general, these artifacts can be classified as structured or unstructured depending on the correlation of the artifact with the original content. In addition, the artifact can be white or colored depending on the flatness of the frequency spectrum of the artifact. In current MR imaging applications, design choices allow one type of artifact to be traded off with another type of artifact. Hence, to support these design choices, the relative impact of structured versus unstructured or colored versus white artifacts on perceived image quality needs to be known. To this end, we conducted two subjective experiments. Clinical application specialists rated the quality of MR images, distorted with different types of artifacts at various levels of degradation. The results demonstrate that unstructured artifacts deteriorate quality less than structured artifacts, while colored artifacts preserve quality better than white artifacts.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Institute of Electrical & Electronic Engineers
ISSN: 1057-7149
Date of First Compliant Deposit: 23 June 2016
Date of Acceptance: 17 April 2016
Last Modified: 04 Jun 2017 09:08
URI: http://orca.cf.ac.uk/id/eprint/90799

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