Literature DB >> 23179406

Evaluation of irreversible compression ratios for medical images thin slice CT and update of Canadian Association of Radiologists (CAR) guidelines.

David Koff1, Peter Bak, André Matos, Geoff Norman.   

Abstract

In June 2008, the Canadian Association of Radiologists published its Standards for Irreversible Compression in Digital Diagnostic Imaging within Radiology (Canadian Association of Radiologists 2012). The study suggested that at low levels of compression there was no difference in diagnostic accuracy between uncompressed JPEG and JPEG 2000. There were two exceptions; CT neurological and CT body images resulted in lower rating of image quality (Koff et al., J Digit Imaging 22(6):569-78, 2009). The slice thicknesses used in the previous study were greater than 5 mm. However, other studies (Ringl et al., Radiology 240:869-87, 2006) suggest that thin CT slices might modify image tolerance to irreversible compression. Therefore, a new clinical evaluation using CT slices less than 3 mm was initiated. We examined CT images in four body regions (chest, body, musculoskeletal, and neurological). Twenty-five radiologists from across Canada participated. Each read a total of 70 CTs in his specialty; 10 at each of seven levels of compression (uncompressed, JPEG and JPEG 2000 at low, medium, and high compression (varying by region)). Each reader diagnosed the case, rated his confidence, and compared the compressed to the uncompressed image and rated the degree of degradation. Data were analyzed for sensitivity, specificity, accuracy, confidence, and degradation at three levels and two types of compression as well as the original image. There were no overall differences in sensitivity, specificity, accuracy, or confidence. JPEG images, at all levels of compression, were rated lower in terms of perceived difference (4.16/5 vs. 4.53/5 for JPEG 2000 and 4.68/5 for uncompressed). However, the rating of perceived difference was not significantly correlated with accuracy. Analysis of individual body regions did not reveal any systematic effects of compression in any region.

Mesh:

Year:  2013        PMID: 23179406      PMCID: PMC3649051          DOI: 10.1007/s10278-012-9542-y

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


  5 in total

1.  Evaluation of compressed lung CT image quality using quantitative analysis.

Authors:  S Yamamoto; T Johkoh; N Mihara; T Umeda; M Azuma; S Nakanishi; Y Narumi; H Naito; H Nakamura
Journal:  Radiat Med       Date:  2001 Nov-Dec

Review 2.  AAPM/RSNA Physics Tutorial for Residents: Topics in CT. Radiation dose in CT.

Authors:  Michael F McNitt-Gray
Journal:  Radiographics       Date:  2002 Nov-Dec       Impact factor: 5.333

3.  JPEG2000 compression of thin-section CT images of the lung: effect of compression ratio on image quality.

Authors:  Helmut Ringl; Ruediger E Schernthaner; Alexander A Bankier; Michael Weber; Mathias Prokop; Christian J Herold; Cornelia Schaefer-Prokop
Journal:  Radiology       Date:  2006-07-25       Impact factor: 11.105

4.  JPEG 2000 compression of abdominal CT: difference in tolerance between thin- and thick-section images.

Authors:  Hyoun Sik Woo; Kil Joong Kim; Tae Jung Kim; Seokyung Hahn; Bohyoung Kim; Young Hoon Kim; Kyoung Ho Lee
Journal:  AJR Am J Roentgenol       Date:  2007-09       Impact factor: 3.959

5.  Pan-Canadian evaluation of irreversible compression ratios ("lossy" compression) for development of national guidelines.

Authors:  David Koff; Peter Bak; Paul Brownrigg; Danoush Hosseinzadeh; April Khademi; Alex Kiss; Luigi Lepanto; Tracy Michalak; Harry Shulman; Andrew Volkening
Journal:  J Digit Imaging       Date:  2008-10-18       Impact factor: 4.056

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.