JPEG2000 3D compression vs 2D compression: An assessment of artifact amount and computing time in compressing thin-section abdomen CT images

被引:16
|
作者
Kim, Bohyoung [3 ]
Lee, Kyoung Ho [1 ,2 ]
Kim, Kil Joong [4 ]
Richter, Thomas [5 ]
Kang, Heung-Sik [1 ,2 ]
Kim, So Yeon [1 ,2 ]
Kim, Young Hoon [1 ,2 ]
Seo, Jinwook [3 ]
机构
[1] Seoul Natl Univ, Coll Med, Inst Radiat Med, Bundang Hosp,Dept Radiol, Songnam 463707, Gyeonggi Dol, South Korea
[2] Seoul Natl Univ, Med Res Ctr, Songnam 463707, Gyeonggi Dol, South Korea
[3] Seoul Natl Univ, Sch Engn & Comp Sci, Seoul 151744, South Korea
[4] Seoul Natl Univ, Coll Med, Dept Radiat Appl Life Sci, Seoul 110744, South Korea
[5] Univ Stuttgart, Ctr Informat Technol, D-70550 Stuttgart, Germany
关键词
computerised tomography; diagnostic radiography; image coding; medical image processing; VISUALLY LOSSLESS THRESHOLD; PERCEPTUAL QUALITY METRICS; ABDOMINAL CT; WAVELET COMPRESSION; MULTISLICE CT; RATIO; DIFFERENCE; PREDICTION; DATASETS; LUNG;
D O I
10.1118/1.3075824
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
To assess the advantages of the Joint Photographic Experts Group (JPEG)2000 3D (part 2) over JPEG2000 in compressing thin-section abdomen CT data sets, 60 thin-section (0.67 mm) scans from 35 males and 25 females, ranging from 23 to 95 years of age (mean, 58 years), were compressed reversibly (as a negative control) and irreversibly to 4:1, 6:1, 8:1, 10:1, and 12:1 using JPEG2000 3D and JPEG2000 algorithms. Encoding and decoding times and peak signal-to-noise ratios (PSNRs) were measured. For 60 (one image per scan) representative sections containing abnormalities, three radiologists independently compared original and compressed images and graded compression artifacts as 0 (none, indistinguishable), 1 (barely perceptible), 2 (subtle), or 3 (significant). According to pooled radiologists' responses, the range of visually lossless threshold (VLT, the highest compression ratio at which a compressed image is indistinguishable from its original) was determined as one of < 4:1, 4:1-6:1, 6:1-8:1, 8:1-10:1, 10:1-12:1, and >12:1. Wilcoxon signed rank tests and exact tests for paired proportions were used for the comparisons between the two compressions. At each irreversible compression ratio, compared to JPEG2000, JPEG2000 3D required two- or threefold greater computing times (p < 0.001) and introduced less artifacts in terms of PSNR (p < 0.001) and the grade (p < 0.02 at 6:1 or higher) and the presence of perceived artifacts (p < 0.008, at 6:1 for all readers and at 8:1 for two readers). According to PSNR and readers' responses, 6:1 and 8:1 JPEG2000 3D compressions showed more artifacts than 4:1 and 6:1 JPEG2000 compressions, respectively, and 10:1 and 12:1 JPEG2000 3D compressions showed similar artifacts to those of 8:1 and 10:1 JPEG2000 compressions, respectively. The determined VLT range was higher for JPEG2000 3D than for JPEG2000 (p < 0.001): the 3D compression showed the VLT ranges of 4:1-6:1, 6:1-8:1, and 8:1-10:1 for 24 (40%), 30 (50%), and 6 (10%) of the 60 original images, respectively, while the 2D compression showed the VLT ranges of < 4:1, 4:1-6:1, and 6:1-8:1 for 1 (1.7%), 40 (66.7%), and 19 (31.6%) images, respectively. Compared to JPEG2000, JPEG2000 3D increased the VLT range in 23 of the 60 original images by one (n=22) or two ranges (n=1), while the remaining 37 images had the same VLT range between the two compressions. In conclusion, compared to JPEG2000 compression, JPEG2000 3D compression yields less artifacts in compressing thin-section abdomen CT images but requires significantly greater computing times. For the tested data set compressed to the range from 4:1 to 12:1, JPEG2000 3D could increase compression level reasonably (by 2 or less in terms of compression ratio) compared to JPEG2000 for the same amount of artifacts.
引用
收藏
页码:835 / 844
页数:10
相关论文
共 33 条
  • [1] JPEG2000 compression of thin-section CT images of the lung: Effect of compression ratio on image quality
    Ringl, Helmut
    Schernthaner, Ruediger E.
    Bankier, Alexander A.
    Weber, Michael
    Prokop, Mathias
    Herold, Christian J.
    Schaefer-Prokop, Cornelia
    RADIOLOGY, 2006, 240 (03) : 869 - 877
  • [2] Advantage in image fidelity and additional computing time of JPEG2000 3D in comparison to JPEG2000 in compressing abdomen CT image datasets of different section thicknesses
    Lee, Hyunna
    Lee, Kyoung Ho
    Kim, Kil Joong
    Park, Seongjin
    Seo, Jinwook
    Shin, Yeong-Gil
    Kim, Bohyoung
    MEDICAL PHYSICS, 2010, 37 (08) : 4238 - 4248
  • [3] JPEG2000 2D and 3D Reversible Compressions of Thin-Section Chest CT Images: Improving Compressibility by Increasing Data Redundancy Outside the Body Region
    Kim, Kil Joong
    Lee, Kyoung Ho
    Kim, Bohyoung
    Richter, Thomas
    Yun, Il Dong
    Lee, Sang Uk
    Bae, Kyongtae Ty
    Shim, Hackjoon
    RADIOLOGY, 2011, 259 (01) : 271 - 277
  • [4] A Multicenter Observer Performance Study of 3D JPEG2000 Compression of Thin-Slice CT
    Erickson, Bradley J.
    Krupinski, Elizabeth
    Andriole, Katherine P.
    JOURNAL OF DIGITAL IMAGING, 2010, 23 (05) : 639 - 643
  • [5] A Multicenter Observer Performance Study of 3D JPEG2000 Compression of Thin-Slice CT
    Bradley J. Erickson
    Elizabeth Krupinski
    Katherine P. Andriole
    Journal of Digital Imaging, 2010, 23 : 639 - 643
  • [6] Improved compressibility of multislice CT datasets using 3D JPEG2000 compression
    Siddiqui, KM
    Siegel, EL
    Reiner, BI
    Crave, O
    Johnson, JP
    Wu, ZY
    Dagher, JC
    Bilgin, A
    Marcellin, MW
    Nadar, M
    CARS 2004: COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS, 2004, 1268 : 57 - 62
  • [7] Compression of multi-slice CT: 2D vs. 3D JPEG 2000 and effects of slice thickness
    Siegel, E
    Siddiqui, K
    Johnson, J
    Crave, O
    Wu, ZY
    Dagher, J
    Bilgin, A
    Marcellin, M
    Nadar, M
    Reiner, B
    Medical Imaging 2005: PACS and Imaging Informatics, 2005, 5748 : 162 - 170
  • [8] Lossy 3D JPEG2000 compression of abdominal CT images in patients with acute abdominal complaints: Effect of compression ratio on diagnostic confidence and accuracy
    Ringl, Helmut
    Schernthaner, Ruediger
    Sala, Evis
    El-Rabadi, Karem
    Weber, Michael
    Schima, Wolfgang
    Herold, Christian J.
    Dixon, Adrian K.
    RADIOLOGY, 2008, 248 (02) : 476 - 484
  • [9] Discrete cosine transform JPEG compression vs. 2D JPEG2000 compression: JNDmetrix visual discrimination model image quality analysis
    Siddiqui, KM
    Johnson, JP
    Reiner, BI
    Siegel, EL
    Medical Imaging 2005: PACS and Imaging Informatics, 2005, 5748 : 202 - 207
  • [10] Selective coding with controlled quality decay for 2D and 3D images in a JPEG2000 framework
    Signoroni, A
    Lazzaroni, F
    Leonardi, R
    VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2003, PTS 1-3, 2003, 5150 : 830 - 841