Literature DB >> 18647884

Differences in compression artifacts on thin- and thick-section lung CT images.

Vasundhara Bajpai1, Kyoung Ho Lee, Bohyoung Kim, Kil Joong Kim, Tae Jung Kim, Young Hoon Kim, Heung Sik Kang.   

Abstract

OBJECTIVE: The purpose of our study was to show the difference of Joint Photographic Experts Group (JPEG) 2000 compression artifacts in the lung between thin- and thick-section CT images.
MATERIALS AND METHODS: Thirty-five thin-section (1 mm) and 35 corresponding thick-section (5 mm) images were compressed to reversible and irreversible 4:1, 6:1, 8:1, 10:1, and 15:1. In each compressed image, pixels outside the lung were replaced with those from the original image. By comparing the compressed and original images, three radiologists independently rated the compression artifacts using grades of 0 (none, the two images were indistinguishable), 1 (image differences were barely perceptible), 2 (image differences were subtle), or 3 (image differences were significant). At each compression level, thin and thick sections were compared for peak signal-to-noise ratio (PSNR) using paired t tests and for the readers' responses using Wilcoxon's signed rank tests and exact tests for paired proportions.
RESULTS: Thin sections had smaller PSNR (p < 0.0001). Thin sections had higher grades of artifacts than thick sections, showing significant differences at compression levels of 10:1 (mean score, 0.8 vs 0.4, 0.9 vs 0.1, 0.3 vs 0.0; p < 0.009 for the three readers) and 15:1 (1.9 vs 1.0, 1.9 vs 1.1, 1.5 vs 0.6; p < 0.0001). The percentages of distinguishable pairs (grades 1-3) were greater for thin sections than for thick sections, showing a statistically significant difference at 10:1 for two readers (31% vs 3% and 74% vs 37%; p < 0.006).
CONCLUSION: The lung shows more compression artifacts on thin sections than on thick sections. Section thickness should be taken into consideration when adjusting the compression level for lung CT images.

Mesh:

Year:  2008        PMID: 18647884     DOI: 10.2214/AJR.07.3350

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


  3 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.  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

3.  Comparison of Different Slice Thicknesses on Chest Computed Tomography for Evaluation of COVID-19- Associated Pneumonia.

Authors:  Dilara Atasoy; Nazım Çetinkaya; Halil Çaylak; Rağıp Sarıismailoğlu; Mehmet Haydar Atalar
Journal:  Turk Thorac J       Date:  2022-01
  3 in total

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