Literature DB >> 17890355

Lossy three-dimensional JPEG2000 compression of abdominal CT images: assessment of the visually lossless threshold and effect of compression ratio on image quality.

Helmut Ringl1, Ruediger E Schernthaner, Christiane Kulinna-Cosentini, Michael Weber, Cornelia Schaefer-Prokop, Christian J Herold, Wolfgang Schima.   

Abstract

PURPOSE: To retrospectively determine the maximum compression ratio at which compressed images are indistinguishable from the original by using a three-dimensional (3D) wavelet algorithm.
MATERIALS AND METHODS: The protocol of this study was approved by the local Institutional Review Board and informed consent was waived. Sixty emergency abdominal computed tomographic (CT) scans of patients (31 men, 29 women; mean age +/- standard deviation, 50.8 years +/- 20.1; range, 17-80 years) with acute abdominal pain were subjected to lossy irreversible three-dimensional Joint Photographic Experts Group 2000 (3D-JPEG2000) compression by using four compression ratios (4:1, 8:1, 12:1, and 16:1). Groups contained five patients for each of 12 common diagnoses for acute abdominal pain. Images were obtained by using a multidetector CT scanner (Sensation Cardiac 64; Siemens, Forcheim, Germany) with 3- and 6-mm-thick sections. Three radiologists independently compared one case-relevant image per patient with the original image at different compression ratios. They had to determine which image was the original by using a forced-choice, two-alternative model and to subjectively rank image quality. For analysis, a binomial test was used, a Bonferroni correction was applied, and a P value of .01 indicated a significant difference.
RESULTS: Images compressed at ratios of 4:1 and 8:1 were visually indistinguishable and essentially indistinguishable, respectively, from the original images (P > .01 for all readers). For the 12:1 and 16:1 ratios, all readers definitively (P < .001) identified the original images.
CONCLUSION: The highest 3D-JPEG2000 compression ratio for abdominal CT scans, at which compressed images are essentially indistinguishable from the original, is 8:1.

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Year:  2007        PMID: 17890355     DOI: 10.1148/radiol.2452061713

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  4 in total

1.  Extreme compression for extreme conditions: pilot study to identify optimal compression of CT images using MPEG-4 video compression.

Authors:  P Gabriel Peterson; Sung K Pak; Binh Nguyen; Genevieve Jacobs; Les Folio
Journal:  J Digit Imaging       Date:  2012-12       Impact factor: 4.056

2.  Improved pediatric MR imaging with compressed sensing.

Authors:  Shreyas S Vasanawala; Marcus T Alley; Brian A Hargreaves; Richard A Barth; John M Pauly; Michael Lustig
Journal:  Radiology       Date:  2010-06-07       Impact factor: 11.105

3.  A relationship between tolerance of blur and personality.

Authors:  Russell L Woods; C Randall Colvin; Fuensanta A Vera-Diaz; Eli Peli
Journal:  Invest Ophthalmol Vis Sci       Date:  2010-05-26       Impact factor: 4.799

4.  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 in total

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