Literature DB >> 17318703

Quality of compressed medical images.

Ya-Hui Shiao1, Tzong-Jer Chen, Keh-Shih Chuang, Cheng-Hsun Lin, Chun-Chao Chuang.   

Abstract

Previous studies have shown that Joint Photographic Experts Group (JPEG) 2000 compression is better than JPEG at higher compression ratio levels. However, some findings revealed that this is not valid at lower levels. In this study, the qualities of compressed medical images in these ratio areas ( approximately 20), including computed radiography, computed tomography head and body, mammographic, and magnetic resonance T1 and T2 images, were estimated using both a pixel-based (peak signal to noise ratio) and two 8 x 8 window-based [Q index and Moran peak ratio (MPR)] metrics. To diminish the effects of blocking artifacts from JPEG, jump windows were used in both window-based metrics. Comparing the image quality indices between jump and sliding windows, the results showed that blocking artifacts were produced from JPEG compression, even at low compression ratios. However, even after the blocking artifacts were omitted in JPEG compressed images, JPEG2000 outperformed JPEG at low compression levels. We found in this study that the image contrast and the average gray level play important roles in image compression and quality evaluation. There were drawbacks in all metrics that we used. In the future, the image gray level and contrast effect should be considered in developing new objective metrics.

Mesh:

Year:  2007        PMID: 17318703      PMCID: PMC3043905          DOI: 10.1007/s10278-007-9013-z

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  16 in total

1.  Adaptive predictive multiplicative autoregressive model for medical image compression.

Authors:  Z D Chen; R F Chang; W J Kuo
Journal:  IEEE Trans Med Imaging       Date:  1999-02       Impact factor: 10.048

2.  Comparison of image compression viability for lossy and lossless JPEG and Wavelet data reduction in coronary angiography.

Authors:  R Brennecke; U Bürgel; G Rippin; F Post; H J Rupprecht; J Meyer
Journal:  Int J Cardiovasc Imaging       Date:  2001-02       Impact factor: 2.357

3.  Quality degradation in lossy wavelet image compression.

Authors:  Tzong-Jer Chen; Keh-Shih Chuang; Jay Wu; Sharon C Chen; Ing-Ming Hwang; Meei-Ling Jan
Journal:  J Digit Imaging       Date:  2003-10-02       Impact factor: 4.056

4.  Irreversible compression of medical images.

Authors:  Bradley J Erickson
Journal:  J Digit Imaging       Date:  2002-04-30       Impact factor: 4.056

5.  A novel image quality index using Moran I statistics.

Authors:  Tzong-Jer Chen; Keh-Shih Chuang; Jay Wu; Sharon C Chen; Ing-Ming Hwang; Meei-Ling Jan
Journal:  Phys Med Biol       Date:  2003-04-21       Impact factor: 3.609

6.  A statistical method for evaluation quality of medical images: a case study in bit discarding and image compression.

Authors:  Tzong-Jer Chen; Keh-Shih Chuang; Yuang-Chin Chiang; Jen-Hao Chang; Ren-Shyan Liu
Journal:  Comput Med Imaging Graph       Date:  2004-06       Impact factor: 4.790

7.  Vector quality measure of lossy compressed medical images.

Authors:  Artur Przelaskowski
Journal:  Comput Biol Med       Date:  2004-04       Impact factor: 4.589

8.  Assessment of noise in a digital image using the join-count statistic and the Moran test.

Authors:  K S Chuang; H K Huang
Journal:  Phys Med Biol       Date:  1992-02       Impact factor: 3.609

9.  Wavelet versus JPEG (Joint Photographic Expert Group) and fractal compression. Impact on the detection of low-contrast details in computed radiographs.

Authors:  J Ricke; P Maass; E Lopez Hänninen; T Liebig; H Amthauer; C Stroszczynski; W Schauer; T Boskamp; M Wolf
Journal:  Invest Radiol       Date:  1998-08       Impact factor: 6.016

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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  7 in total

1.  JPEG2000 for automated quantification of immunohistochemically stained cell nuclei: a comparative study with standard JPEG format.

Authors:  Marylène Lejeune; Carlos López; Ramón Bosch; Anna Korzyńska; Maria-Teresa Salvadó; Marcial García-Rojo; Urszula Neuman; Łukasz Witkowski; Jordi Baucells; Joaquín Jaén
Journal:  Virchows Arch       Date:  2010-11-18       Impact factor: 4.064

2.  A novel medical image quality index.

Authors:  Sheng-Chieh Lin; You-Chen Lin; Weng-Song Feng; Jia-Ming Wu; Tzong-Jer Chen
Journal:  J Digit Imaging       Date:  2011-10       Impact factor: 4.056

3.  Quantitative image quality evaluation of MR images using perceptual difference models.

Authors:  Jun Miao; Donglai Huo; David L Wilson
Journal:  Med Phys       Date:  2008-06       Impact factor: 4.071

4.  JPEG2000 still image coding quality.

Authors:  Tzong-Jer Chen; Sheng-Chieh Lin; You-Chen Lin; Ren-Gui Cheng; Li-Hui Lin; Wei Wu
Journal:  J Digit Imaging       Date:  2013-10       Impact factor: 4.056

5.  Usability of irreversible image compression in radiological imaging. A position paper by the European Society of Radiology (ESR).

Authors: 
Journal:  Insights Imaging       Date:  2011-02-14

6.  A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model.

Authors:  Carlos Santos; Marilton Aguiar; Daniel Welfer; Bruno Belloni
Journal:  Sensors (Basel)       Date:  2022-08-26       Impact factor: 3.847

7.  Mutual Information Correlation with Human Vision in Medical Image Compression.

Authors:  Li-Hui Lin; Tzong-Jer Chen
Journal:  Curr Med Imaging Rev       Date:  2018-02
  7 in total

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