Introducing an acceptability metric for image compression in PACS - A model

In this paper we introduce a model which describes the process of choosing individual metrics which are used to establish if a medical image compression is acceptable for a specific PACS or not. Image compression is an integral part of a PACS. There is no universal way for measuring acceptance of still image compression for a specific PACS. Many individual metrics have been proposed for measuring still image quality. They can be used individually or together. The proposed model should help the process of choosing individual metrics which are adequate for specific PACS. Results of individual metrics should improve the decision making regarding medical image compression during PACS development and implementation.

[1]  Stefan Winkler,et al.  On the properties of subjective ratings in video quality experiments , 2009, 2009 International Workshop on Quality of Multimedia Experience.

[2]  Hyo-Min Cho,et al.  Comparison and Evaluation of JPEG and JPEG2000 in Medical Images for CR (Computed Radiography) , 2010 .

[3]  Amit Mehta,et al.  PACS: A Guide to the Digital Revolution , 2005 .

[4]  Artur Przelaskowski Vector quality measure of lossy compressed medical images , 2004, Comput. Biol. Medicine.

[5]  D. Dragan,et al.  Quality evaluation of medical image compression: What to measure? , 2010, IEEE 8th International Symposium on Intelligent Systems and Informatics.

[6]  R.M. Gray Image compression , 1991, [1991] Proceedings. Data Compression Conference.

[7]  Andreas Pommert,et al.  Evaluation of Image Quality in Medical Volume Visualization: The State of the Art , 2002, MICCAI.

[8]  Dragan Ivetic,et al.  Architectures of DICOM based PACS for JPEG2000 medical image streaming , 2009, Comput. Sci. Inf. Syst..

[9]  Dragan Ivetic,et al.  Request redirection paradigm in medical image archive implementation , 2012, Comput. Methods Programs Biomed..

[10]  Touradj Ebrahimi,et al.  JPEG 2000 performance evaluation and assessment , 2002, Signal Process. Image Commun..

[11]  D Smutek,et al.  Quality measurement of lossy compression in medical imaging. , 2005, Prague medical report.

[12]  Ahmet M. Eskicioglu,et al.  Quality measurement for monochrome compressed images in the past 25 years , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[13]  A. Przelaskowski The JPEG2000 standard for medical image applications , 2004 .

[14]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[15]  Mohd. Alauddin Mohd. Ali,et al.  Diagnostic Quality of Compressed Medical Images: Objective and Subjective Evaluation , 2008, 2008 Second Asia International Conference on Modelling & Simulation (AMS).