Literature DB >> 16126923

Effect of CT image compression on computer-assisted lung nodule volume measurement.

Jane P Ko1, Jeffrey Chang, Elan Bomsztyk, James S Babb, David P Naidich, Henry Rusinek.   

Abstract

PURPOSE: To evaluate the effect of two-dimensional wavelet-based computed tomographic (CT) image compression according to the Joint Photographic Experts Group (JPEG) 2000 standard on computer-assisted assessment of nodule volume.
MATERIALS AND METHODS: This HIPAA-compliant study was approved by the research board at the authors' institution; patients' informed consent was not required. Fifty-one nodules in 23 patients (seven men, 16 women; mean age, 59 years; age range, 39-75 years) were selected on low-dose CT scans that were compressed to levels of 10:1, 20:1, 30:1, and 40:1 by using a two-dimensional JPEG 2000 wavelet-based image compression method. Nodules were classified according to size (< or = 5 mm or > 5 mm in diameter), location (central, peripheral, or abutting pleura or fissures), and attenuation (solid, calcified, or subsolid). Regions of interest were placed on the original images and transposed onto compressed images. Nodule volumes on original (noncompressed) and compressed images were measured by using a computer-assisted method. A mixed-model analysis of variance was conducted for statistical evaluation.
RESULTS: Nodule volumes averaged 388.1 mm3 (range, 34-3474 mm3). There were three calcified, 33 solid noncalcified, and 15 subsolid nodules (13 with ground-glass attenuation). Average volume decreased with increasing compression level, to 383 mm3 (10:1), 370 mm3 (20:1), 360 mm3 (30:1), and 354 mm3 (40:1). No significant difference was identified between measurements obtained on original images and those compressed to a level of 10:1. Significant differences were noted, however, between original images and those compressed to a level of 20:1 or greater (P < .05). Compression level significantly interacted with nodule size, location, and attenuation (P < .001). The effect of compression was greater for nodules with ground-glass attenuation than for those with higher attenuation values. The difference in mean volumes between original images and those compressed to a level of 20:1 was 34.9 mm3 for nodules with ground-glass attenuation, compared with 8.3 mm3 for higher-attenuation nodules, a 4.2-fold difference.
CONCLUSION: Nodule volumes measured on images compressed to a level of 20:1 differed significantly from those measured on noncompressed images, especially for nodules with ground-glass attenuation. This difference could affect the assessment of nodule change in size as measured with computer-assisted methods. RSNA, 2005

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Year:  2005        PMID: 16126923      PMCID: PMC2359728          DOI: 10.1148/radiol.2371041079

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


  15 in total

1.  American College of Cardiology/European Society of Cardiolgoy International Study of Angiographic Data Compression Phase II: the effects of varying JPEG data compression levels on the quantitative assessment of the degree of stenosis in digital coronary angiography. Joint Photographic Experts Group.

Authors:  J C Tuinenburg; G Koning; E Hekking; A H Zwinderman; T Becker; R Simon; J H Reiber
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2.  American College of Cardiology/ European Society of Cardiology international study of angiographic data compression phase I. The effects of lossy data compression on recognition of diagnostic features in digital coronary angiography.

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3.  Assessment of visually lossless irreversible image compression: comparison of three methods by using an image-comparison workstation.

Authors:  R M Slone; D H Foos; B R Whiting; E Muka; D A Rubin; T K Pilgram; K S Kohm; S S Young; P Ho; D D Hendrickson
Journal:  Radiology       Date:  2000-05       Impact factor: 11.105

Review 4.  Data explosion: the challenge of multidetector-row CT.

Authors:  G D Rubin
Journal:  Eur J Radiol       Date:  2000-11       Impact factor: 3.528

5.  Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation.

Authors:  D F Yankelevitz; A P Reeves; W J Kostis; B Zhao; C I Henschke
Journal:  Radiology       Date:  2000-10       Impact factor: 11.105

6.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

7.  Small pulmonary nodules: reproducibility of three-dimensional volumetric measurement and estimation of time to follow-up CT.

Authors:  William J Kostis; David F Yankelevitz; Anthony P Reeves; Simina C Fluture; Claudia I Henschke
Journal:  Radiology       Date:  2004-05       Impact factor: 11.105

8.  Evaluation of irreversible compression of digitized posterior-anterior chest radiographs.

Authors:  B J Erickson; A Manduca; K R Persons; F Earnest; T E Hartman; G F Harms; L R Brown
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9.  Thoracic CT images: effect of lossy image compression on diagnostic accuracy.

Authors:  P C Cosman; H C Davidson; C J Bergin; C W Tseng; L E Moses; E A Riskin; R A Olshen; R M Gray
Journal:  Radiology       Date:  1994-02       Impact factor: 11.105

10.  Effects of JPEG and wavelet compression of spiral low-dose ct images on detection of small lung cancers.

Authors:  F Li; S Sone; S Takashima; K Kiyono; Z G Yang; M Hasegawa; S Kawakami; A Saito; K Hanamura; K Asakura
Journal:  Acta Radiol       Date:  2001-03       Impact factor: 1.701

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  5 in total

1.  Irreversible JPEG 2000 compression of abdominal CT for primary interpretation: assessment of visually lossless threshold.

Authors:  Kyoung Ho Lee; Young Hoon Kim; Bo Hyoung Kim; Kil Joong Kim; Tae Jung Kim; Hyuk Jung Kim; Seokyung Hahn
Journal:  Eur Radiol       Date:  2006-11-22       Impact factor: 5.315

2.  Variability of semiautomated lung nodule volumetry on ultralow-dose CT: comparison with nodule volumetry on standard-dose CT.

Authors:  Patrick A Hein; Valentina C Romano; Patrik Rogalla; Christian Klessen; Alexander Lembcke; Lars Bornemann; Volker Dicken; Bernd Hamm; Hans-Christian Bauknecht
Journal:  J Digit Imaging       Date:  2008-09-05       Impact factor: 4.056

3.  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

4.  User interface of a teleradiology system for the MR assessment of multiple sclerosis.

Authors:  G Luccichenti; F Cademartiri; A Pichiecchio; E Bontempi; U Sabatini; S Bastianello
Journal:  J Digit Imaging       Date:  2009-07-15       Impact factor: 4.056

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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