Literature DB >> 18647883

Regional difference in compression artifacts in low-dose chest CT images: effects of mathematical and perceptual factors.

Kil Joong Kim1, Bohyoung Kim, Kyoung Ho Lee, Tae Jung Kim, Rafal Mantiuk, Heung-Sik Kang, Young Hoon Kim.   

Abstract

OBJECTIVE: The objective of our study was to investigate the difference of perceptible artifacts between the lungs and the chest wall and mediastinum in Joint Photographic Experts Group (JPEG) 2000-compressed low-dose chest CT images and to show that a perceptual image quality metric-the High-Dynamic Range Visual Difference Predictor (HDR-VDP)-can reproduce this regional difference.
MATERIALS AND METHODS: Twenty images were compressed reversibly and irreversibly to 6:1-30:1. To analyze the two regions separately (lungs; and chest wall and mediastinum), the compressed pixels outside each tested region were replaced with the original pixels. By comparing the compressed and original images, three radiologists independently rated the compression artifacts as grade 0, none, indistinguishable; 1, barely perceptible; 2, subtle; or 3, significant. At each compression level, the two regions were compared for the readers' responses, peak signal-to-noise ratio (PSNR), and HDR-VDP results. Wilcoxon's signed rank tests and exact tests for paired proportions were used with a p value threshold of 0.05.
RESULTS: Artifacts were rated as lower grades in the lungs than in the chest wall and mediastinum, showing statistical significances at 10:1-20:1 for reader 1, 8:1-15:1 for reader 2, and 8:1-20:1 for reader 3. Grade 0 was more frequent in the lungs, showing statistical significances at 10:1 for reader 1 and at 8:1-10:1 for readers 2 and 3. The results of PSNR indicated greater artifacts in the lungs (p < 0.001), whereas HDR-VDP results indicated fewer artifacts in the lungs (p < 0.001).
CONCLUSION: Although compression artifacts are mathematically greater in the lungs than in the chest wall and mediastinum, radiologists' artifact perceptions are the opposite, which can be successfully reproduced by HDR-VDP.

Mesh:

Year:  2008        PMID: 18647883     DOI: 10.2214/AJR.07.3462

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  5 in total

1.  Computed Tomography Image Compressibility and Limitations of Compression Ratio-Based Guidelines.

Authors:  Jean-François Pambrun; Rita Noumeir
Journal:  J Digit Imaging       Date:  2015-12       Impact factor: 4.056

2.  The impact of irreversible image data compression on post-processing algorithms in computed tomography.

Authors:  Daniel Pinto Dos Santos; Conrad Friese; Jan Borggrefe; Peter Mildenberger; Aline Mähringer-Kunz; Roman Kloeckner
Journal:  Diagn Interv Radiol       Date:  2020-01       Impact factor: 2.630

3.  A multicenter observer performance study of 3D JPEG2000 compression of thin-slice CT.

Authors:  Bradley J Erickson; Elizabeth Krupinski; Katherine P Andriole
Journal:  J Digit Imaging       Date:  2009-07-15       Impact factor: 4.056

4.  Determining optimal medical image compression: psychometric and image distortion analysis.

Authors:  Alexander C Flint
Journal:  BMC Med Imaging       Date:  2012-07-31       Impact factor: 1.930

5.  Development of an algorithm to automatically compress a CT image to visually lossless threshold.

Authors:  Chang-Mo Nam; Kyong Joon Lee; Yousun Ko; Kil Joong Kim; Bohyoung Kim; Kyoung Ho Lee
Journal:  BMC Med Imaging       Date:  2018-12-17       Impact factor: 1.930

  5 in total

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